statsmodels-0.13.2.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
statsmodels-0.13.2.dist-info/LICENSE.txt,sha256=CJchLCSwm6acSRdJDYgoCB1gu0MD7ABF5VOp5HDzjvo,1670
statsmodels-0.13.2.dist-info/METADATA,sha256=zTOAuG4yAmCp7GY4Ldx4Asd5vx9FLK7hlCJlBGvncGw,8145
statsmodels-0.13.2.dist-info/RECORD,,
statsmodels-0.13.2.dist-info/REQUESTED,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels-0.13.2.dist-info/WHEEL,sha256=fVcVlLzi8CGi_Ul8vjMdn8gER25dn5GBg9E6k9z41-Y,100
statsmodels-0.13.2.dist-info/top_level.txt,sha256=cucLjFr_CwyszbZXR9yr9y0AB3j85RPFlmC11dsyblU,12
statsmodels/LICENSE.txt,sha256=CJchLCSwm6acSRdJDYgoCB1gu0MD7ABF5VOp5HDzjvo,1670
statsmodels/__init__.py,sha256=HuFr7j1Ya7Iwq6vbgtYyqATNtxiX6_O4FgY4AyJnMEw,988
statsmodels/__pycache__/__init__.cpython-39.pyc,,
statsmodels/__pycache__/_version.cpython-39.pyc,,
statsmodels/__pycache__/api.cpython-39.pyc,,
statsmodels/__pycache__/conftest.cpython-39.pyc,,
statsmodels/_version.py,sha256=bU7oiIGoNUVmCfS_3RA_UbHqL3M-7RlMz7y7m00Qp04,519
statsmodels/api.py,sha256=8twuOOdfQRivZnS_CHZRjSJsqMQnBKaCA3SBL4RfS8g,3132
statsmodels/base/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/base/__pycache__/__init__.cpython-39.pyc,,
statsmodels/base/__pycache__/_constraints.cpython-39.pyc,,
statsmodels/base/__pycache__/_parameter_inference.cpython-39.pyc,,
statsmodels/base/__pycache__/_penalized.cpython-39.pyc,,
statsmodels/base/__pycache__/_penalties.cpython-39.pyc,,
statsmodels/base/__pycache__/_screening.cpython-39.pyc,,
statsmodels/base/__pycache__/covtype.cpython-39.pyc,,
statsmodels/base/__pycache__/data.cpython-39.pyc,,
statsmodels/base/__pycache__/distributed_estimation.cpython-39.pyc,,
statsmodels/base/__pycache__/elastic_net.cpython-39.pyc,,
statsmodels/base/__pycache__/l1_cvxopt.cpython-39.pyc,,
statsmodels/base/__pycache__/l1_slsqp.cpython-39.pyc,,
statsmodels/base/__pycache__/l1_solvers_common.cpython-39.pyc,,
statsmodels/base/__pycache__/model.cpython-39.pyc,,
statsmodels/base/__pycache__/optimizer.cpython-39.pyc,,
statsmodels/base/__pycache__/transform.cpython-39.pyc,,
statsmodels/base/__pycache__/wrapper.cpython-39.pyc,,
statsmodels/base/_constraints.py,sha256=hWy5qsc3yRQ9jqd4-87q61ZMKa5Dl2jQdB-UV-E5NTY,13607
statsmodels/base/_parameter_inference.py,sha256=EYbFivySvSGve2oh81V-eti2SUehIS7EY9mqyF6MWqg,10485
statsmodels/base/_penalized.py,sha256=SYE44ZzEB7bkRmlRIvsRiEDFJrzYSAVoRUwbp2KFvDM,7987
statsmodels/base/_penalties.py,sha256=FA7gZj4BoeiwqsWUY9-GBdPyM1xPOgs_P_IPa1Pl2VU,17815
statsmodels/base/_screening.py,sha256=oQsWYNGNrO91eLu-GU3SwWnAmmaSn11E9x6sRJ04Mls,18596
statsmodels/base/covtype.py,sha256=PVFunAEhc4_W5QoXPFg8y5Dw2_PLDzZnFjjYATDTmRA,15853
statsmodels/base/data.py,sha256=9gTgNeTbdZFCsY4YmLGEGXJ6fKsFSSRQ-ys2ZM5TGfo,25039
statsmodels/base/distributed_estimation.py,sha256=h6BYR1yq5yw195pfu6tJdSo7aOdivFptlL-AOjcYrgg,22863
statsmodels/base/elastic_net.py,sha256=NvQwKUq_is4ReztUIARPa9lsuAJzM1DPRUuRAClZdEM,13221
statsmodels/base/l1_cvxopt.py,sha256=nKSeM7A357UPHQc7yN5kwuO3wFOns6fEnn5BDJ2rpsk,6894
statsmodels/base/l1_slsqp.py,sha256=FTPaBrsylY_ORkuPnQj8H7RQk9rV5DuFICdjGLtRMAo,5772
statsmodels/base/l1_solvers_common.py,sha256=vvUb4JWinSsjBiYjIWPFaALfIpuAsk9Pi42L8sUT6Ck,5745
statsmodels/base/model.py,sha256=5P08alxsaCYQt4Qdu_LvG_N6CvUHjgkIFqmc2wYXNiw,110361
statsmodels/base/optimizer.py,sha256=OSWFGaDZiSGS54Xadt2pEnPYBpz-KI7VMxwRGklLUkg,44222
statsmodels/base/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/base/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/base/tests/__pycache__/test_data.cpython-39.pyc,,
statsmodels/base/tests/__pycache__/test_distributed_estimation.cpython-39.pyc,,
statsmodels/base/tests/__pycache__/test_generic_methods.cpython-39.pyc,,
statsmodels/base/tests/__pycache__/test_optimize.cpython-39.pyc,,
statsmodels/base/tests/__pycache__/test_penalized.cpython-39.pyc,,
statsmodels/base/tests/__pycache__/test_penalties.cpython-39.pyc,,
statsmodels/base/tests/__pycache__/test_predict.cpython-39.pyc,,
statsmodels/base/tests/__pycache__/test_screening.cpython-39.pyc,,
statsmodels/base/tests/__pycache__/test_shrink_pickle.cpython-39.pyc,,
statsmodels/base/tests/__pycache__/test_transform.cpython-39.pyc,,
statsmodels/base/tests/test_data.py,sha256=EmtNpW-RoaaPxfZ5IXZJesGA4tMOFXUXH6gNbIiMttg,35063
statsmodels/base/tests/test_distributed_estimation.py,sha256=_znU2WX3kgpHmnocaqb_zFfLca6kM5RsLljWLdbh7_Y,16513
statsmodels/base/tests/test_generic_methods.py,sha256=T1k8fcZqqK9gGcjqvMuWp2ei1Y3HB4Q9mjHoiB9PHak,29588
statsmodels/base/tests/test_optimize.py,sha256=paVeWWOvNalC99-8GLGjcdHQ8hlYvO_47M10MwGs5HM,3402
statsmodels/base/tests/test_penalized.py,sha256=o5YGInq_K2nK7Ix20A-sFLPCciTUouhZ3r61F3QX8nw,26383
statsmodels/base/tests/test_penalties.py,sha256=g0cZqt1kopuI_0tnOlK-nZikV1Wy9SqLAtRlYjQC7qk,4613
statsmodels/base/tests/test_predict.py,sha256=CV7HJLMGusDTWdcx_M1hbhj8pE6XyXK0yX95Oq0rOlw,5505
statsmodels/base/tests/test_screening.py,sha256=iN8nY2yaujoTa6tGx9XXJv-e6Sj1rIRDNbweOVds8VE,12061
statsmodels/base/tests/test_shrink_pickle.py,sha256=o8V1j4gltC_VNKVPgajWNqzwuuJ4eGlW_zZfs28lmE0,11040
statsmodels/base/tests/test_transform.py,sha256=dIKPLajKZtaawPzroFAZLWnFkd_NgnDjsbnN7xosxzY,4577
statsmodels/base/transform.py,sha256=Ypir1Swbbc8Uqas0_TDhD90BV6Lzwzo01tOQsGO0sYQ,8471
statsmodels/base/wrapper.py,sha256=_6W8JpWRn4S-PqHZ_VosuczQ0fa4cl2sg27nwtLthKE,3726
statsmodels/compat/__init__.py,sha256=tgm9CV-80AlR-qo1PA3LHyubK_PEio9PUQgbrGiSGWc,357
statsmodels/compat/__pycache__/__init__.cpython-39.pyc,,
statsmodels/compat/__pycache__/_scipy_multivariate_t.cpython-39.pyc,,
statsmodels/compat/__pycache__/numpy.cpython-39.pyc,,
statsmodels/compat/__pycache__/pandas.cpython-39.pyc,,
statsmodels/compat/__pycache__/platform.cpython-39.pyc,,
statsmodels/compat/__pycache__/pytest.cpython-39.pyc,,
statsmodels/compat/__pycache__/python.cpython-39.pyc,,
statsmodels/compat/__pycache__/scipy.cpython-39.pyc,,
statsmodels/compat/_scipy_multivariate_t.py,sha256=AMV2slIInXhlz2UM5uhMmHwb6DZe1pz_667CYW7VrzM,40730
statsmodels/compat/numpy.py,sha256=z6O-JBWdom1VRRbu8fyQ__4fXcUa7a3q75IIjApAu1A,2370
statsmodels/compat/pandas.py,sha256=i6PvMDJqD6hn7O7Kx6KKxJg2pCbrWo8JIUCbXezivdA,3990
statsmodels/compat/platform.py,sha256=tJIW_gt6ydZKyIsSp-vmfkVOpGU48thKEuBeRsDSGh8,479
statsmodels/compat/pytest.py,sha256=AN3nNELNRBFHmzNnSYhP2ElOBDRpuobjRa4otIQSiEU,1260
statsmodels/compat/python.py,sha256=6gIXDmMpMry9FGuzFuungXLdxQ1wElIX2kSKYtJjLo4,1560
statsmodels/compat/scipy.py,sha256=AIxcnsaU_P6gWyNc6DlAzvRvo_7dIFRj0hPMwSsn5SU,2041
statsmodels/compat/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/compat/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/compat/tests/__pycache__/test_itercompat.cpython-39.pyc,,
statsmodels/compat/tests/__pycache__/test_pandas.cpython-39.pyc,,
statsmodels/compat/tests/__pycache__/test_scipy_compat.cpython-39.pyc,,
statsmodels/compat/tests/test_itercompat.py,sha256=xWn8ud3X9ytUPpuS8UEOKCg62AZsHOucMaMIodoHToA,1235
statsmodels/compat/tests/test_pandas.py,sha256=AjuNMWj-7jwoziE3WFoVD1tsndHuGVu4q27mguqPEkk,1280
statsmodels/compat/tests/test_scipy_compat.py,sha256=ZbY8ZmgQx-hdmmCS3WWdNe8rR-gs0r23Del5-7zFC-A,2902
statsmodels/conftest.py,sha256=unAB14JneUPk6fmyA5YG8IyHkx3ZFUWQ40_b7Y4fOBU,3624
statsmodels/datasets/__init__.py,sha256=8MbBnIYFFqEbi83HxupkCQe_2om4RDv7iNqcjOAa_B8,1257
statsmodels/datasets/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/__pycache__/template_data.cpython-39.pyc,,
statsmodels/datasets/__pycache__/utils.cpython-39.pyc,,
statsmodels/datasets/anes96/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/anes96/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/anes96/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/anes96/anes96.csv,sha256=NuVaDXygyGMEwYaNQgHzAtIELcB4up10i26Y9t29Umc,22535
statsmodels/datasets/anes96/data.py,sha256=tQ2eGih1gUn0dwQS7052Dp4nQ4k7SMQjbdEcARJq_RU,3806
statsmodels/datasets/cancer/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/cancer/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/cancer/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/cancer/cancer.csv,sha256=GcvSK4S5N_jvkIwyZIpPLedaZazB1YNz8ojug2_aaS4,2784
statsmodels/datasets/cancer/data.py,sha256=seUVtNGBBqnVQCCLaAD072CqRhviBu6T-JQ4znYIuGc,1226
statsmodels/datasets/ccard/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/ccard/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/ccard/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/ccard/ccard.csv,sha256=GeVQ-HyJL2V4cFTAWnA7fx0noO8APlkh5nb6IVEk1sE,1644
statsmodels/datasets/ccard/data.py,sha256=vS6Jqa7DZ_GcLj-cteq1kPNRAFqz43ZO9LKvuyN6Hpo,1412
statsmodels/datasets/china_smoking/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/china_smoking/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/china_smoking/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/china_smoking/china_smoking.csv,sha256=0URFgqqIOna04YTs7qb6FMoRFz2XDBRpr6zFq9AxYeI,289
statsmodels/datasets/china_smoking/data.py,sha256=mG0yWvTP_47bBulUHnu-YY_3i4P0qkYJrY5YiPsEY10,1574
statsmodels/datasets/co2/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/co2/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/co2/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/co2/co2.csv,sha256=Vgn4AaClKchfYB5wAvRw77XX9VSfy205IOYs-2AVlSU,36259
statsmodels/datasets/co2/data.py,sha256=Alrxzbtii2nzZsE0NngH-04ho3HLrE4knSfozc1M8wg,2419
statsmodels/datasets/committee/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/committee/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/committee/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/committee/committee.csv,sha256=rsujg0DXlFRTy_TW5fZtD5aUUB4ZwAZiMd6Hl3-NHiM,733
statsmodels/datasets/committee/data.py,sha256=PAGDu_LlJjLVRDPUBfwKd8a_0jrjVP1FhnVlyWkn_GQ,2386
statsmodels/datasets/copper/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/copper/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/copper/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/copper/copper.csv,sha256=v9ETBmbwdIg-Pl9geXkdE_Co6D9Pt9lTDnQQ9sjlQrM,1008
statsmodels/datasets/copper/data.py,sha256=lVGzxfCPbbXncOpCN1wHDs5kJ6kRIMZqiZm7DrDvioA,2101
statsmodels/datasets/cpunish/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/cpunish/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/cpunish/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/cpunish/cpunish.csv,sha256=wzHlczU2z03tMMOLQofl8nj0wageMG3dU4lFTZk45-g,764
statsmodels/datasets/cpunish/data.py,sha256=LpfYR9ADadnNh7FqJhJUGGoFzpYhuDZhhHHyyVn3GO8,2395
statsmodels/datasets/danish_data/__init__.py,sha256=mUklYDgr7O5pCqLqA3baKGxPMdeeIRfysZ1OVNgt4bc,284
statsmodels/datasets/danish_data/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/danish_data/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/danish_data/data.csv,sha256=BNfF4j4mdnczJuxBB8MtTix4rvJh98xhBwtsyhPeh94,3349
statsmodels/datasets/danish_data/data.py,sha256=ikde2J554BaYuy127d7BzKCjwow_fJVZy3cDvqKY7IA,1622
statsmodels/datasets/elec_equip/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/elec_equip/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/elec_equip/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/elec_equip/data.py,sha256=s0eOVmkjncrBgokZ7cg5_jme-Pnl3qcg04Tg7fl5Lrg,1583
statsmodels/datasets/elec_equip/elec_equip.csv,sha256=jaoAqV_bL7LAK7LWM19OqgQIo0WJn888nKH4PnYLTnI,4763
statsmodels/datasets/elnino/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/elnino/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/elnino/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/elnino/data.py,sha256=mAAVzN65iNpNw9_IvJm29W2yAU21JBEUIWef7wCUe88,1525
statsmodels/datasets/elnino/elnino.csv,sha256=6XT0a29hYheX0AEVGg0-4Bzfxl2lfxWM8-VuRYCzNng,5570
statsmodels/datasets/engel/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/engel/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/engel/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/engel/data.py,sha256=V_wPOpDhjoTnkp3NGhZ5ycbu6imCdlEDB91PRRVq_wg,1422
statsmodels/datasets/engel/engel.csv,sha256=BbYOCRMlvBcMtoA854-AwCm_4q4HKJHsV38evo3u_WE,8177
statsmodels/datasets/fair/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/fair/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/fair/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/fair/data.py,sha256=Tw9lB1-MVjVQwV4OjzYC_jZ197M6bjtMSCtX6MpJbn0,2562
statsmodels/datasets/fair/fair.csv,sha256=ECx2w_67vomOD9ID4tX44c3s1Th11WkS7KNRyLhlveg,158183
statsmodels/datasets/fair/fair_pt.csv,sha256=IvqdHVZFo--j_YalEVEMXycscEBTa4lc9Y71f0gW7jY,22995
statsmodels/datasets/fertility/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/fertility/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/fertility/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/fertility/data.py,sha256=Zq6P7FShIFdDpaET3m21VhctbSFvRIx748GtWQJ1pQU,2102
statsmodels/datasets/fertility/fertility.csv,sha256=Pk8tksl3CZ-Uiloi0GoV4AluxxPvlFPuDIJA5YgODkQ,94674
statsmodels/datasets/grunfeld/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/grunfeld/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/grunfeld/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/grunfeld/data.py,sha256=XDZr-vx-VyzZQD2qt_38T8bLeYgf9mXkZDp1ooDhsWQ,2394
statsmodels/datasets/grunfeld/grunfeld.csv,sha256=Z8lT2HynNPRgCdV65f7-JGT-OJh0a1iwEcHoKBRncaA,7850
statsmodels/datasets/heart/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/heart/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/heart/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/heart/data.py,sha256=anr4kZg1jW40LCcbLsr8TccfqFtyLAYQYjHUN2kmCDo,1365
statsmodels/datasets/heart/heart.csv,sha256=Q01N8guovFEyYEq2Fq-aKwIYrkvcRyp9MrFRNTb5zvw,2134
statsmodels/datasets/interest_inflation/E6.csv,sha256=rEVSGoibghqJWqSwZHTmR7NvV4wYgsc2byTwgIiyJr8,2642
statsmodels/datasets/interest_inflation/E6_jmulti.csv,sha256=2GNjHjaAEqaQPf1rF9ViVZS0pOARouB94odIN7DOwPE,1866
statsmodels/datasets/interest_inflation/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/interest_inflation/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/interest_inflation/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/interest_inflation/data.py,sha256=HhXaR6K61s00JhjnPOz3Nd2l4LtTh0Eg9l5JhdamRlU,1466
statsmodels/datasets/longley/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/longley/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/longley/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/longley/data.py,sha256=yCoxFYe4d1PDNPf75Q7IlgeoIy5dCnLnpa1DfiUDZ4o,1753
statsmodels/datasets/longley/longley.csv,sha256=YoCPHEz-mpNlUSSpbkk0YSaEw-obGcTV0P5Q3tf2zRA,759
statsmodels/datasets/macrodata/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/macrodata/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/macrodata/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/macrodata/data.py,sha256=DEokpulS5hcJ5yf0EPiEct1iMo1bhwtL08PeHvUUBWE,3026
statsmodels/datasets/macrodata/macrodata.csv,sha256=eFP8wNkqm4m2J8tustJ_r0oAx1FeOzepokAB71l8qPA,18033
statsmodels/datasets/macrodata/macrodata.dta,sha256=zVSRVduL-pxTDNFoNmxS_wY-NXwNUg7eS3d1Yte27t8,13255
statsmodels/datasets/modechoice/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/modechoice/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/modechoice/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/modechoice/data.py,sha256=u5hieAt9Oi-nuciYKRw-GLhAMd-Kywe9CJDiYkDeZd4,2713
statsmodels/datasets/modechoice/modechoice.csv,sha256=8nH5KLpNdqrTXVoHu92XptT6KKK4wNIiTxC2vn0Tc68,22407
statsmodels/datasets/nile/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/nile/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/nile/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/nile/data.py,sha256=IbgJ5uqZAA-k8OkO_GtGVOArH4N2P6ClcpEi4yeE3MY,1453
statsmodels/datasets/nile/nile.csv,sha256=heRJTQD3pjhFqNRMCQrOgiF3o6KY2YodvLbH_URC7kQ,1043
statsmodels/datasets/randhie/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/randhie/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/randhie/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/randhie/data.py,sha256=eaW6Ue4fUh2GE8qInqrliqoGPmHrLzwHXljKvedYn-8,2388
statsmodels/datasets/randhie/randhie.csv,sha256=fuDS3qDKjs_PuwLDHWOoir5jIxj1oRDWONagNfSCf5E,768372
statsmodels/datasets/scotland/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/scotland/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/scotland/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/scotland/data.py,sha256=YvRcwV9nOmFHSHXT9WrlRlun_a2NzK11zH4D7nR7C3I,2810
statsmodels/datasets/scotland/scotvote.csv,sha256=cPn5-2MJu5le_SYYRrD8O3LJ330lNaqmR1qbNnKX8a0,1923
statsmodels/datasets/spector/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/spector/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/spector/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/spector/data.py,sha256=FTpfcCj1esLUlSS7N6UYDgEv8Zxn_ou6KaBiy6al_-U,1811
statsmodels/datasets/spector/spector.csv,sha256=yvIeIhHJ33MUAULPG5STJlC-k7VD7Li1eknwY2JLJdE,530
statsmodels/datasets/stackloss/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/stackloss/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/stackloss/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/stackloss/data.py,sha256=QaOIbJ9nn846G7f9GlCFEtgZf0Lj_rDcmNFdfTpc-c0,1668
statsmodels/datasets/stackloss/stackloss.csv,sha256=CfZ8uy52-A7nJ4-uXIewfKJgGE6cmRCThg8uTYNmHx8,314
statsmodels/datasets/star98/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/star98/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/star98/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/star98/data.py,sha256=DY0sucM27mpMaoafgoqG6qLgaHkstWA5914PPjb6DVA,3598
statsmodels/datasets/star98/star98.csv,sha256=uBI3Ar-ZCgHZ1JhOXgRJ0-qaqkINBMr7A52FsQonLPE,65581
statsmodels/datasets/statecrime/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/statecrime/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/statecrime/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/statecrime/data.py,sha256=xBJHcUXq6_H2dAgINucw5ZlhRQtOFJOJnohudI9LHkI,2573
statsmodels/datasets/statecrime/statecrime.csv,sha256=kXppiChtJC90VRpnXpNRhDGfKJFJWL9XxBQ0TzU5eJM,2421
statsmodels/datasets/strikes/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/strikes/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/strikes/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/strikes/data.py,sha256=G5-5Zo0oeet9fCWzj2pdYXNszKG0_1JKtDLToOcE9OU,1698
statsmodels/datasets/strikes/strikes.csv,sha256=6uCAAyku1mcqVTlEwJnAsI85y8CWiug_jMRqb8JYw_8,781
statsmodels/datasets/sunspots/__init__.py,sha256=KVfn2paR7EPVBNJxjjr2EYSaoPIevZFVxpYZ8wzVJ7c,219
statsmodels/datasets/sunspots/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/sunspots/__pycache__/data.cpython-39.pyc,,
statsmodels/datasets/sunspots/data.py,sha256=HE-U-dvH6YEflT3qaMWwnOvWXjaFSbhiElQonPqqDls,1595
statsmodels/datasets/sunspots/sunspots.csv,sha256=3wS2KaabxoYRpNHRqM96OpsQ1DoANpPCLXuqxWoXvEY,3254
statsmodels/datasets/template_data.py,sha256=nrawzAK3lU1j_JHhDOig9_vRNneG1bTDUYuGbAy2D7g,1279
statsmodels/datasets/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/datasets/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/datasets/tests/__pycache__/test_data.cpython-39.pyc,,
statsmodels/datasets/tests/__pycache__/test_utils.cpython-39.pyc,,
statsmodels/datasets/tests/test_data.py,sha256=DB5B5V1KQR6ESarv_M0PKr77-9ozfxcumW_tNrQaMz4,1234
statsmodels/datasets/tests/test_utils.py,sha256=FS15QH1WdSJrN5aQ2d-MMfb3khGZmsIZgVwoSy6xH4o,3393
statsmodels/datasets/utils.py,sha256=o3Z-sbxJxQtIckYD8LUnXfTkVXnlcyWDA5qLS86gU18,10662
statsmodels/discrete/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/discrete/__pycache__/__init__.cpython-39.pyc,,
statsmodels/discrete/__pycache__/_diagnostics_count.cpython-39.pyc,,
statsmodels/discrete/__pycache__/conditional_models.cpython-39.pyc,,
statsmodels/discrete/__pycache__/count_model.cpython-39.pyc,,
statsmodels/discrete/__pycache__/discrete_margins.cpython-39.pyc,,
statsmodels/discrete/__pycache__/discrete_model.cpython-39.pyc,,
statsmodels/discrete/_diagnostics_count.py,sha256=7lXIK4fxBTlrIln_SbWgjfdIhsbWMyoHl__UbxK8TcQ,10442
statsmodels/discrete/conditional_models.py,sha256=VWl3nZfvNyS064QJKFRMJpbgxkV_tUetP0XQfuMNwZI,19487
statsmodels/discrete/count_model.py,sha256=KLQc4ZMgPHnUjfcSIYXDjmzGIWGgrbZPo14PqYbC43M,32746
statsmodels/discrete/discrete_margins.py,sha256=VOKrgf0RyQiC0OdjELcWYNbdEPVIdECaVH72ihKC-AY,27376
statsmodels/discrete/discrete_model.py,sha256=LQfHIn2NKmdVtaldQN9b4ZJP8Bs54BbOFSYgvWDUiO4,162338
statsmodels/discrete/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/discrete/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/discrete/tests/__pycache__/test_conditional.cpython-39.pyc,,
statsmodels/discrete/tests/__pycache__/test_constrained.cpython-39.pyc,,
statsmodels/discrete/tests/__pycache__/test_count_model.cpython-39.pyc,,
statsmodels/discrete/tests/__pycache__/test_diagnostic.cpython-39.pyc,,
statsmodels/discrete/tests/__pycache__/test_discrete.cpython-39.pyc,,
statsmodels/discrete/tests/__pycache__/test_margins.cpython-39.pyc,,
statsmodels/discrete/tests/__pycache__/test_sandwich_cov.cpython-39.pyc,,
statsmodels/discrete/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/discrete/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/discrete/tests/results/__pycache__/results_count_margins.cpython-39.pyc,,
statsmodels/discrete/tests/results/__pycache__/results_count_robust_cluster.cpython-39.pyc,,
statsmodels/discrete/tests/results/__pycache__/results_discrete.cpython-39.pyc,,
statsmodels/discrete/tests/results/__pycache__/results_glm_logit_constrained.cpython-39.pyc,,
statsmodels/discrete/tests/results/__pycache__/results_poisson_constrained.cpython-39.pyc,,
statsmodels/discrete/tests/results/mn_logit_summary.txt,sha256=ujDzYPVxx3Sq3WRpn60ysJFJHm4lYWMthlgMIFCFk3Q,3920
statsmodels/discrete/tests/results/mnlogit_resid.csv,sha256=mStrJp6mwksPlQqAOskrGMNw3BCAmm2C2X61DL_KaYA,4721
statsmodels/discrete/tests/results/nbinom_resids.csv,sha256=2dnKLZpLu2NOWZd41gi59P7KQ0DQgmHxMia7LSg3jyI,961
statsmodels/discrete/tests/results/phat_mnlogit.csv,sha256=dvezQK_KgnDOhc-Ew-PKi1rEz53TpqqvlM7IRRS8nek,166144
statsmodels/discrete/tests/results/poisson_resid.csv,sha256=pRmJltqef_C9y-U-aSP98c_6cLVnK6Yev7lzYRIAkfA,135257
statsmodels/discrete/tests/results/predict_prob_poisson.csv,sha256=3gvfunHfwtBOv0wn0YTLdlrVyMxK33VerRVcxCv-xS0,195100
statsmodels/discrete/tests/results/results_count_margins.py,sha256=3ZeoD-Gxavmw0At22mfw1lW9RZYUZWB-nkQt7-uXkfM,17517
statsmodels/discrete/tests/results/results_count_robust_cluster.py,sha256=Q2EKNwJyWLnTn5bL3J8vDJyj7fNvceeyVG9QudpsbLs,24112
statsmodels/discrete/tests/results/results_discrete.py,sha256=GNJpK_6lGZmxbGP4l1QucYy5WtMzAeDHxK6U_WS4OFs,52299
statsmodels/discrete/tests/results/results_glm_logit_constrained.py,sha256=m7ntCr6GCeqr3Y16lLAbOcO6BB4hYuB0DL6jsG603EQ,25244
statsmodels/discrete/tests/results/results_poisson_constrained.py,sha256=Fqulyt6e_Z3ZBzSv5QCXEJyv6pnR2liFocvMkUq1l0A,28587
statsmodels/discrete/tests/results/ships.csv,sha256=Oaaox6MIRKLIAyqQMQZf5P5vPYezj1zvgygM3T__jWY,920
statsmodels/discrete/tests/results/sm3533.csv,sha256=gXs7cJ8nX0IyeQdC-MJFiOQME6NdT5ngJT5ns8DQN2A,6808
statsmodels/discrete/tests/results/yhat_mnlogit.csv,sha256=E_jFCARzEk2L1vVKHULxQdE-wlh5e-XPSy8QeG4ZzX8,169444
statsmodels/discrete/tests/results/yhat_poisson.csv,sha256=ZU5aXWCknAQbX6kBZZG4o15KQPxQHBPpNdzxQP8MiAc,378979
statsmodels/discrete/tests/test_conditional.py,sha256=7wdWr8pJ30GGTAPjeaS-XG26Ql4sMtmk88GRHB63Dfg,9944
statsmodels/discrete/tests/test_constrained.py,sha256=8_oLH6z3TYNSbE4xeg-_lmz5o5is97pPLuT9tbTNTMw,21453
statsmodels/discrete/tests/test_count_model.py,sha256=TYpufRw0D2JpQAblLNvKA_gYyplL0iedOSt85a9w09c,29421
statsmodels/discrete/tests/test_diagnostic.py,sha256=eomDzlMwcW1BPpGw-ZHBWpJx4hoUUdnm_eHmhsrGNvo,2266
statsmodels/discrete/tests/test_discrete.py,sha256=OzNo6SAyU7XptRBTbN-D4M8KeX8jA4g32-va0wb65Q8,97626
statsmodels/discrete/tests/test_margins.py,sha256=5QpzpXXJ4y-2S1KLDx3S7ebtQrpP2TRhu1U8042fEf4,4797
statsmodels/discrete/tests/test_sandwich_cov.py,sha256=QcI1TK2thqWdWhpkD8jgrtmYM7q15a8ogbOTxHfinEI,23671
statsmodels/distributions/__init__.py,sha256=wypHzq29_Dk6qqPwJTFUye67AGXwt86K6WEtudx7cu4,435
statsmodels/distributions/__pycache__/__init__.cpython-39.pyc,,
statsmodels/distributions/__pycache__/bernstein.cpython-39.pyc,,
statsmodels/distributions/__pycache__/discrete.cpython-39.pyc,,
statsmodels/distributions/__pycache__/edgeworth.cpython-39.pyc,,
statsmodels/distributions/__pycache__/empirical_distribution.cpython-39.pyc,,
statsmodels/distributions/__pycache__/mixture_rvs.cpython-39.pyc,,
statsmodels/distributions/__pycache__/tools.cpython-39.pyc,,
statsmodels/distributions/bernstein.py,sha256=zjrt1dOgYz1OPnKiOdE8O4BbWKs_P4FSKDUoxEQxMyw,7632
statsmodels/distributions/copula/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/distributions/copula/__pycache__/__init__.cpython-39.pyc,,
statsmodels/distributions/copula/__pycache__/api.cpython-39.pyc,,
statsmodels/distributions/copula/__pycache__/archimedean.cpython-39.pyc,,
statsmodels/distributions/copula/__pycache__/copulas.cpython-39.pyc,,
statsmodels/distributions/copula/__pycache__/depfunc_ev.cpython-39.pyc,,
statsmodels/distributions/copula/__pycache__/elliptical.cpython-39.pyc,,
statsmodels/distributions/copula/__pycache__/extreme_value.cpython-39.pyc,,
statsmodels/distributions/copula/__pycache__/other_copulas.cpython-39.pyc,,
statsmodels/distributions/copula/__pycache__/transforms.cpython-39.pyc,,
statsmodels/distributions/copula/api.py,sha256=EVfyKCczegdx0VUaJtDTLfX1zauCyxvglCEH-doSEVY,921
statsmodels/distributions/copula/archimedean.py,sha256=grLhBURuw2DCncmc8I596mV_kjmurQwTRzj5IiVdxv4,12831
statsmodels/distributions/copula/copulas.py,sha256=SawFgvFQhJZ90cX1vzdSVUjesiICx9hWCTLC0Myxvpc,18219
statsmodels/distributions/copula/depfunc_ev.py,sha256=Q6Pn5wdYiPCWEN9MbXpllMRYvIweswe4DE0JexxMohg,9581
statsmodels/distributions/copula/elliptical.py,sha256=3MYNyWo3naXSv5FaTjdq_5519ipvoDjDPyQRl4jdljI,9179
statsmodels/distributions/copula/extreme_value.py,sha256=lHSxcpieYK3QM2IaLYyYA_M7FvPsFl6TAfXeYH-SmVw,4968
statsmodels/distributions/copula/other_copulas.py,sha256=Wji7T5G5RTcyzkY9BPMPODNrJdcq4WQmxKxvoyovtTY,3598
statsmodels/distributions/copula/transforms.py,sha256=iiAojOPaEE2J32keAr17FTXTTVsjiw4ivCTT0ymcVaE,3609
statsmodels/distributions/discrete.py,sha256=kEhei1q65tzRjNaSjUyeomcqUavf_YS2LUsIH6yLZr0,12710
statsmodels/distributions/edgeworth.py,sha256=LjzIGPsBZpJ-WEoCUlyghwv_mGuj2cJINlKp931fmbI,6882
statsmodels/distributions/empirical_distribution.py,sha256=iivy4xKFnBv7E3GWtnEyLcXU7RfD0m93B9vL_fJnlHk,5421
statsmodels/distributions/mixture_rvs.py,sha256=_qOO0WN-LNebkfy4koxY2GuiwoOBjaDsisLCUKzjG_Y,10437
statsmodels/distributions/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/distributions/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/distributions/tests/__pycache__/test_bernstein.cpython-39.pyc,,
statsmodels/distributions/tests/__pycache__/test_discrete.cpython-39.pyc,,
statsmodels/distributions/tests/__pycache__/test_ecdf.cpython-39.pyc,,
statsmodels/distributions/tests/__pycache__/test_edgeworth.cpython-39.pyc,,
statsmodels/distributions/tests/__pycache__/test_mixture.cpython-39.pyc,,
statsmodels/distributions/tests/__pycache__/test_tools.cpython-39.pyc,,
statsmodels/distributions/tests/test_bernstein.py,sha256=4FM-FnUOuug97HmesY4TEagsxgxDunMM1_OOyO-53IU,5614
statsmodels/distributions/tests/test_discrete.py,sha256=WxFNXAvbv1TBLnDTbTLU0qyp2s_BEzuMXhsyzcHmACY,18344
statsmodels/distributions/tests/test_ecdf.py,sha256=msrhxUS5vRAdCbhvX-KBF19fjM1XesZL_jQBifVsTRw,1709
statsmodels/distributions/tests/test_edgeworth.py,sha256=_XIH8GVqcQK4fVKZwiuvvR4w3HtTOrMlHFvlDbdWEhc,6627
statsmodels/distributions/tests/test_mixture.py,sha256=c869LpebzYHh8mdnzPkRBjO-l-RaqIRE0T833YjUxhw,5176
statsmodels/distributions/tests/test_tools.py,sha256=zRjXodET0fs1I4jasCKiGJMfWsi2dxzpbE6jjrNTAQI,5756
statsmodels/distributions/tools.py,sha256=rvZOY6KklrOoUYV698DISSz451t80GE-HhtJzU-F-bU,14052
statsmodels/duration/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/duration/__pycache__/__init__.cpython-39.pyc,,
statsmodels/duration/__pycache__/_kernel_estimates.cpython-39.pyc,,
statsmodels/duration/__pycache__/api.cpython-39.pyc,,
statsmodels/duration/__pycache__/hazard_regression.cpython-39.pyc,,
statsmodels/duration/__pycache__/survfunc.cpython-39.pyc,,
statsmodels/duration/_kernel_estimates.py,sha256=sGEC2Y7cHcJc536OBDrZigtXFwXfFnyNmifWKQSV-rs,6430
statsmodels/duration/api.py,sha256=aHR1ulFuSphGXb-Fuq5l3jiDCdt75ZlH9c58I4Aea2o,201
statsmodels/duration/hazard_regression.py,sha256=4gxDUH-9qafbIXaqByKVQm8_jyaGKjpf0ycoz27SC6Q,60337
statsmodels/duration/survfunc.py,sha256=JojqgMWOmBfvQVzys4PuO-pX0SQP8FLF5DOwbiMiPe0,28070
statsmodels/duration/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/duration/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/duration/tests/__pycache__/test_phreg.cpython-39.pyc,,
statsmodels/duration/tests/__pycache__/test_survfunc.cpython-39.pyc,,
statsmodels/duration/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/duration/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/duration/tests/results/__pycache__/phreg_gentests.cpython-39.pyc,,
statsmodels/duration/tests/results/__pycache__/survival_enet_r_results.cpython-39.pyc,,
statsmodels/duration/tests/results/__pycache__/survival_r_results.cpython-39.pyc,,
statsmodels/duration/tests/results/bmt.csv,sha256=OjeLKU33MidbNUQP0g17HQV6oIXIHGXRo-kSEHF6CD8,2482
statsmodels/duration/tests/results/bmt_results.csv,sha256=zbahgoqX_8Oxmcq0RxrEOJ_56wGmQOxnjO3eocQyPOQ,1641
statsmodels/duration/tests/results/phreg_gentests.py,sha256=ALyn9vAP_vosgHbMM8ttDHR3kbkliieoq_UVt7oliM4,1997
statsmodels/duration/tests/results/survival_data_1000_10.csv,sha256=FD9BANEp-_AX1KCWOqSPrCd5VBmXHvyM3HYEPCe0ubY,110015
statsmodels/duration/tests/results/survival_data_100_5.csv,sha256=4CYwarZTCqDQSbrV8V3TFsPEu2SYxKa5w8laLI3olZY,6739
statsmodels/duration/tests/results/survival_data_20_1.csv,sha256=qRDss2tPozv8Vp4spWm9oPtQjRyI1cZHUvXVOmVoMTU,668
statsmodels/duration/tests/results/survival_data_50_1.csv,sha256=cpSAba6N6itb17NyJAXFe926yyQtgbmXz5BXc8mpGUQ,1670
statsmodels/duration/tests/results/survival_data_50_2.csv,sha256=2h_rYBLu2BnmMXXqTI6NPg5TeXJ1To_5lGBRhpYc8zg,2108
statsmodels/duration/tests/results/survival_enet_r_results.py,sha256=QVxZq6ygdThDeGzFzv7V22H45SpGc__XiHijc8x8TRs,283
statsmodels/duration/tests/results/survival_r_results.py,sha256=REhFFCXdV9t9vLU1qEw8PViiRsgdv9pg2iV6YJyi-co,13678
statsmodels/duration/tests/test_phreg.py,sha256=fA7MSIiwsUrY0hckrGC36wTZYmQBJcW8tbH6t3aDplk,15419
statsmodels/duration/tests/test_survfunc.py,sha256=UbDzOT_KxrdKSU2KGtCJqco6Irgo4Duf1M7uh4t83o8,19846
statsmodels/emplike/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/emplike/__pycache__/__init__.cpython-39.pyc,,
statsmodels/emplike/__pycache__/aft_el.cpython-39.pyc,,
statsmodels/emplike/__pycache__/api.cpython-39.pyc,,
statsmodels/emplike/__pycache__/descriptive.cpython-39.pyc,,
statsmodels/emplike/__pycache__/elanova.cpython-39.pyc,,
statsmodels/emplike/__pycache__/elregress.cpython-39.pyc,,
statsmodels/emplike/__pycache__/originregress.cpython-39.pyc,,
statsmodels/emplike/aft_el.py,sha256=6ZBWpok-G1KA8luriFm4T3pVMXwj4DqJqv7xkNGseJA,18701
statsmodels/emplike/api.py,sha256=hGYbOwc-uKKQEsZXzE98Ena5PpF0ezCgfbShc1_Yrpw,314
statsmodels/emplike/descriptive.py,sha256=AoCYgpuKCaTjlp1GyGxAxTjcfQGzIGsUrRF454eSj0g,40099
statsmodels/emplike/elanova.py,sha256=wgslbAthDWrXdjdCNSu7bCo01holDOLQXU8yg0GDjFM,3783
statsmodels/emplike/elregress.py,sha256=aY1jqFKjHm_ipd_HQg2d4oxs2HIIjE6o90A6QtvKfi8,3187
statsmodels/emplike/originregress.py,sha256=Y_5G9FM9am_itSdPgGbA1uK7dhZzgyOcIg5BNlsNiIo,9108
statsmodels/emplike/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/emplike/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/emplike/tests/__pycache__/test_aft.cpython-39.pyc,,
statsmodels/emplike/tests/__pycache__/test_anova.cpython-39.pyc,,
statsmodels/emplike/tests/__pycache__/test_descriptive.cpython-39.pyc,,
statsmodels/emplike/tests/__pycache__/test_origin.cpython-39.pyc,,
statsmodels/emplike/tests/__pycache__/test_regression.cpython-39.pyc,,
statsmodels/emplike/tests/results/__init__.py,sha256=rwQEFG0yc_DHXZH1fGbwGBl8-JrnkVfI0TgYcefsoLM,20
statsmodels/emplike/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/emplike/tests/results/__pycache__/el_results.cpython-39.pyc,,
statsmodels/emplike/tests/results/el_results.py,sha256=2l8OESlto4_rRy_DKP2UeOd4Prtmv81Wg4LrpdJQfC0,18839
statsmodels/emplike/tests/test_aft.py,sha256=es8Ir7KqEQgKvOC9ICST4pBhlm_FjpquERGYkbP_d8o,1656
statsmodels/emplike/tests/test_anova.py,sha256=YxbM96ZA3J_rYV8Dn9mvRZBNGM0mWPk50VTq2DP_hbo,897
statsmodels/emplike/tests/test_descriptive.py,sha256=ow_xSnYjn8BUaXacf33YnWj4trkGBGrdoLRbf_gn-7E,4469
statsmodels/emplike/tests/test_origin.py,sha256=5iGO07nlQYvvMzQ93xbrOQqOIgDNeQF-qO4yr1jFyR0,1494
statsmodels/emplike/tests/test_regression.py,sha256=lYRXAwf4JDqiRvvsSvv3-mW34R7W77Gu8vXjjWx2RsA,5927
statsmodels/formula/__init__.py,sha256=k0nWER4uOU9WvG_e1Unkoh9_wRaKE_bVnxa2PWVzKfg,170
statsmodels/formula/__pycache__/__init__.cpython-39.pyc,,
statsmodels/formula/__pycache__/api.cpython-39.pyc,,
statsmodels/formula/__pycache__/formulatools.cpython-39.pyc,,
statsmodels/formula/api.py,sha256=jgzIaVt6m__urGuH85Psm7ekng866UpMhh7tybvww0g,1495
statsmodels/formula/formulatools.py,sha256=BPqYYryF_IL3jtQp1aVE9-0aWgoiLH9VuCx9AbnpPgc,3914
statsmodels/formula/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/formula/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/formula/tests/__pycache__/test_formula.cpython-39.pyc,,
statsmodels/formula/tests/test_formula.py,sha256=hZ2lYt0ZzoO9go5wFKvlHCJsUy3mhPZkDyhYjvhOOss,8978
statsmodels/gam/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/gam/__pycache__/__init__.cpython-39.pyc,,
statsmodels/gam/__pycache__/api.cpython-39.pyc,,
statsmodels/gam/__pycache__/gam_penalties.cpython-39.pyc,,
statsmodels/gam/__pycache__/generalized_additive_model.cpython-39.pyc,,
statsmodels/gam/__pycache__/smooth_basis.cpython-39.pyc,,
statsmodels/gam/api.py,sha256=V5lLvaI4YAbt3O3lHcL-HnAaVYG-4XRAXZBt_XhBWOQ,265
statsmodels/gam/gam_cross_validation/__init__.py,sha256=pOaPv0JMH6dsIIxMdx89hwdYPuSRNTC-CWrZhRUW6V8,51
statsmodels/gam/gam_cross_validation/__pycache__/__init__.cpython-39.pyc,,
statsmodels/gam/gam_cross_validation/__pycache__/cross_validators.cpython-39.pyc,,
statsmodels/gam/gam_cross_validation/__pycache__/gam_cross_validation.cpython-39.pyc,,
statsmodels/gam/gam_cross_validation/cross_validators.py,sha256=ETFSDY2ofKxSlQwcHg9oDPimGIc1nH8QW2cWh1tltDo,1727
statsmodels/gam/gam_cross_validation/gam_cross_validation.py,sha256=It4qzBw1M2SOVm621q1B87ZDhEC5aAGHL63hJ1pduZU,7966
statsmodels/gam/gam_penalties.py,sha256=DUE0NzPDQHxoVOfXXlotJydR3wIMcuN46MZSP_bpjXE,10076
statsmodels/gam/generalized_additive_model.py,sha256=a7-xDeA3nDY7Shmkz6T_PQGhNc-gF1APeYw85IdmIiU,39751
statsmodels/gam/smooth_basis.py,sha256=Dmlq2QW8yDHyKchnHJlqawEHRyvYso9ChTqeXW1ztMM,40485
statsmodels/gam/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/gam/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/gam/tests/__pycache__/test_gam.cpython-39.pyc,,
statsmodels/gam/tests/__pycache__/test_penalized.cpython-39.pyc,,
statsmodels/gam/tests/__pycache__/test_smooth_basis.cpython-39.pyc,,
statsmodels/gam/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/gam/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/gam/tests/results/__pycache__/results_mpg_bs.cpython-39.pyc,,
statsmodels/gam/tests/results/__pycache__/results_mpg_bs_poisson.cpython-39.pyc,,
statsmodels/gam/tests/results/__pycache__/results_pls.cpython-39.pyc,,
statsmodels/gam/tests/results/autos.csv,sha256=CfL-Hs9afCMJE7LuuQwXxSAg30a3DFlYvbQ-TXXOTHc,29050
statsmodels/gam/tests/results/autos_exog.csv,sha256=B-N9Pm4KVtTO2BJfhOERdYfEwQlr4BfdDMRfW2EuDAQ,36128
statsmodels/gam/tests/results/autos_predict.csv,sha256=FiDCmksDjyqEINBlf0pxnWQ0SJyS5t2IQvk0PWPSYJ4,36390
statsmodels/gam/tests/results/cubic_cyclic_splines_from_mgcv.csv,sha256=UxCem9V8HGs0Xz40zAyYyP9T9WnfRMJT084IqrRQ-NQ,65920
statsmodels/gam/tests/results/gam_PIRLS_results.csv,sha256=7gGZiFE1NJZ55TYUdd74PuLOgt5MvLyUZ6JRQJGjeiE,16641
statsmodels/gam/tests/results/logit_gam_mgcv.csv,sha256=75iLqs8P4L_C4CSCovIBHCkh1f0afu_dSqArye5sPug,8655
statsmodels/gam/tests/results/motorcycle.csv,sha256=ILaeeVjdmeuGsL4szcoL1Pruno0lltJjUwMObfTwqOU,1458
statsmodels/gam/tests/results/prediction_from_mgcv.csv,sha256=UOoYVQtokCZ4Rf2D54_qH8f8L1gaQWUUg42IS_phWTI,119662
statsmodels/gam/tests/results/results_mpg_bs.py,sha256=fyePlpgGRFjkfe_ZJTSg4r3cO08WidUTSuiPTR2vlPQ,77765
statsmodels/gam/tests/results/results_mpg_bs_poisson.py,sha256=h0HkMQD0E6srQCXt9bckXvjOl-ZbZGlIcevWDI--BAg,106148
statsmodels/gam/tests/results/results_pls.py,sha256=nTdhKU_EB8NENwA283xLQOZIWSxq8xyEwsfoTlXTOJ8,22140
statsmodels/gam/tests/test_gam.py,sha256=5XeBZ37jjxkzz2fLRVvhi9YDqFWsmmWA43liJdYP11g,26979
statsmodels/gam/tests/test_penalized.py,sha256=NZzOewgCysxBZBjxOczAGXfGX8sM6M9q8RI23UKrhNs,25423
statsmodels/gam/tests/test_smooth_basis.py,sha256=TcAHkkfHZ_iKWiGxeaKoO0YusMs4LVaYHhKeuzwnkYc,1314
statsmodels/genmod/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/genmod/__pycache__/__init__.cpython-39.pyc,,
statsmodels/genmod/__pycache__/_prediction.cpython-39.pyc,,
statsmodels/genmod/__pycache__/_tweedie_compound_poisson.cpython-39.pyc,,
statsmodels/genmod/__pycache__/api.cpython-39.pyc,,
statsmodels/genmod/__pycache__/bayes_mixed_glm.cpython-39.pyc,,
statsmodels/genmod/__pycache__/cov_struct.cpython-39.pyc,,
statsmodels/genmod/__pycache__/generalized_estimating_equations.cpython-39.pyc,,
statsmodels/genmod/__pycache__/generalized_linear_model.cpython-39.pyc,,
statsmodels/genmod/__pycache__/qif.cpython-39.pyc,,
statsmodels/genmod/_prediction.py,sha256=_I_SEfyTK5u-qcCP-Z0CR64DfoAwEywoB3Dqqp8E6ZI,9806
statsmodels/genmod/_tweedie_compound_poisson.py,sha256=0Owqt2yBxJUYsfdJLCyFYCwmovITuVoHdJ9OGPL5f-c,2942
statsmodels/genmod/api.py,sha256=a381PG10xpQBZd8DrDWk1Ee1N8rACR8XnXMFYXMd4Zg,389
statsmodels/genmod/bayes_mixed_glm.py,sha256=eRTDySMDiEKNqghni0QQd2NPGGLGyKP4pzSL4ph3mz0,40144
statsmodels/genmod/cov_struct.py,sha256=xAC7GhfKKbuY97uR-96dvoFX36JmoOcHBZOMEiqaZJY,52989
statsmodels/genmod/families/__init__.py,sha256=-HBM4QlQva3uztUjVhd75CuV2tbOg6oI1bZdrXjlG8Q,685
statsmodels/genmod/families/__pycache__/__init__.cpython-39.pyc,,
statsmodels/genmod/families/__pycache__/family.cpython-39.pyc,,
statsmodels/genmod/families/__pycache__/links.cpython-39.pyc,,
statsmodels/genmod/families/__pycache__/varfuncs.cpython-39.pyc,,
statsmodels/genmod/families/family.py,sha256=d7ECYBO_RnsmN2ouhnjvcpFI6WZcmQIq-wY7DybgUUw,55877
statsmodels/genmod/families/links.py,sha256=sZZ9JzUtWQmC49EBMzYoNbeJQ7T6l2E1ZuQoEmMX9Wo,27560
statsmodels/genmod/families/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/genmod/families/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/genmod/families/tests/__pycache__/test_family.cpython-39.pyc,,
statsmodels/genmod/families/tests/__pycache__/test_link.cpython-39.pyc,,
statsmodels/genmod/families/tests/test_family.py,sha256=0UgjaMev2Y7sBY7DHZpbIEXePuSz6FjCnnEdtana-YE,1655
statsmodels/genmod/families/tests/test_link.py,sha256=RNxL0nie-FJPgjISQukm3w-RZXHSBAYXQ1HiUUNdX5w,6381
statsmodels/genmod/families/varfuncs.py,sha256=Ujg6zMverbQzCowf-y9c36uHfM_bePlaPsZEXWNnxnU,5692
statsmodels/genmod/generalized_estimating_equations.py,sha256=ho1B9ELEn4QRPlhyqBj-_gJA-aZoc9iTFwDdi3Qc8Tc,119060
statsmodels/genmod/generalized_linear_model.py,sha256=bnJWh5XG3Ko5UZ_RU3yQPIdMNMTWKAYUrDQ2LiMGPFY,89001
statsmodels/genmod/qif.py,sha256=lkovBe3pG5K8b3P9mhBYXd9VJpeIw3vouh3UAONF-8s,16893
statsmodels/genmod/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/genmod/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/genmod/tests/__pycache__/gee_categorical_simulation_check.cpython-39.pyc,,
statsmodels/genmod/tests/__pycache__/gee_gaussian_simulation_check.cpython-39.pyc,,
statsmodels/genmod/tests/__pycache__/gee_poisson_simulation_check.cpython-39.pyc,,
statsmodels/genmod/tests/__pycache__/gee_simulation_check.cpython-39.pyc,,
statsmodels/genmod/tests/__pycache__/test_bayes_mixed_glm.cpython-39.pyc,,
statsmodels/genmod/tests/__pycache__/test_constrained.cpython-39.pyc,,
statsmodels/genmod/tests/__pycache__/test_gee.cpython-39.pyc,,
statsmodels/genmod/tests/__pycache__/test_gee_glm.cpython-39.pyc,,
statsmodels/genmod/tests/__pycache__/test_glm.cpython-39.pyc,,
statsmodels/genmod/tests/__pycache__/test_glm_weights.cpython-39.pyc,,
statsmodels/genmod/tests/__pycache__/test_qif.cpython-39.pyc,,
statsmodels/genmod/tests/__pycache__/test_score_test.cpython-39.pyc,,
statsmodels/genmod/tests/gee_categorical_simulation_check.py,sha256=-h9wLZLBX7t3YKZVIGec-B7gvM2lssaULGiJBv-GM8c,8851
statsmodels/genmod/tests/gee_gaussian_simulation_check.py,sha256=8c80Z0E-WsNo8y2dAUpzoIWupkXutjy9eiavjmps7_4,10239
statsmodels/genmod/tests/gee_poisson_simulation_check.py,sha256=-vfh_cduwAGD3EvXh2mO1HpnHNcp2Dz4cuYtyeuiBtc,9380
statsmodels/genmod/tests/gee_simulation_check.py,sha256=m4nut_PQlIPk814jiMSCJhs6JrvkW7BuYgJcu3G4MZQ,9772
statsmodels/genmod/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/genmod/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/genmod/tests/results/__pycache__/elastic_net_generate_tests.cpython-39.pyc,,
statsmodels/genmod/tests/results/__pycache__/gee_generate_tests.cpython-39.pyc,,
statsmodels/genmod/tests/results/__pycache__/glm_test_resids.cpython-39.pyc,,
statsmodels/genmod/tests/results/__pycache__/glmnet_r_results.cpython-39.pyc,,
statsmodels/genmod/tests/results/__pycache__/res_R_var_weight.cpython-39.pyc,,
statsmodels/genmod/tests/results/__pycache__/results_glm.cpython-39.pyc,,
statsmodels/genmod/tests/results/__pycache__/results_glm_poisson_weights.cpython-39.pyc,,
statsmodels/genmod/tests/results/elastic_net_generate_tests.py,sha256=Rl2g0ne6uwWWT8jrHwvj9FgoOtLYIgzxHwRwt4-AKGo,662
statsmodels/genmod/tests/results/enet_binomial.csv,sha256=gTkPW5C52OffNaeGZDjBUrrj418gLbaGu44ZCh9-bJE,6729
statsmodels/genmod/tests/results/enet_poisson.csv,sha256=RmxIFBkZ6A8uluICxi6O4yO4bsetgpp8GHgtfQ9GW3U,6673
statsmodels/genmod/tests/results/epil.csv,sha256=QO8GNb7Tg1utbsVQ-UJUMf6cHA_0tETpHdO9aSBYFPE,16442
statsmodels/genmod/tests/results/gee_generate_tests.py,sha256=KmnwNYNHujz8XaGnbVfguaQO5MBpVDrit42tbNzwdcA,5487
statsmodels/genmod/tests/results/gee_linear_1.csv,sha256=kLz-bTvRycEqXR7fVR5PPhHS5IOtJDaBLLf10Pgfte4,10540
statsmodels/genmod/tests/results/gee_logistic_1.csv,sha256=E8rm3yX37t7lwd8ctt98dxTKciIOMn-DGTEfxfezrmE,10322
statsmodels/genmod/tests/results/gee_nested_linear_1.csv,sha256=fRilZjAGaz6nRU9RWtNOrPbrnFTuSVVmUJGysdQt3BE,60996
statsmodels/genmod/tests/results/gee_nominal_1.csv,sha256=-3C5Qfs-xu_dgh1ea4zTk9E0vkGvbPCvM1MXoLbxNh4,15080
statsmodels/genmod/tests/results/gee_ordinal_1.csv,sha256=ycrbypd3BT9grrIXjNLHSLkIR3ZsK5HiDYuJR9SRb0Y,30610
statsmodels/genmod/tests/results/gee_poisson_1.csv,sha256=Kuan37mgiT4RgH7yDCE6Mf4i1k4PqlP_7Jvou4WlS80,15368
statsmodels/genmod/tests/results/glm_test_resids.py,sha256=RVwasYp_23_aVr13pMs_j13T4l1YOcRjB_dAli1SYrI,321735
statsmodels/genmod/tests/results/glmnet_r_results.py,sha256=-xMbV2KdcdVtY4zVf9Kp_zo04wKGVmb86mP3NULsCis,1981
statsmodels/genmod/tests/results/igaussident_resids.csv,sha256=WTYk6LpSIM-uext0DumhCnm_yNxn7xo5IehsTuUCxiQ,177638
statsmodels/genmod/tests/results/inv_gaussian.csv,sha256=ybl0WWkgLoGpy2eb14LbyL0F-2c3ST8aC4qyJ2euvBU,766639
statsmodels/genmod/tests/results/iris.csv,sha256=VcnoJw929OBI4gdmyFtJLgCV80cWw7ewyB9Xl6D_gKk,2885
statsmodels/genmod/tests/results/medparlogresids.csv,sha256=4a4JVlFkeKHbrGdb6yo7jT2J3bdypLsXXuF9HupOetE,475066
statsmodels/genmod/tests/results/res_R_var_weight.py,sha256=OGI-ZG4w3XA9HJM0Fs81jEToln1rIhEqfME4lNQrmhY,8586
statsmodels/genmod/tests/results/results_glm.py,sha256=W2nY0RWqu66XOcxsPu3d5nh83d9z0Nbo9RZLqJQwlz0,278031
statsmodels/genmod/tests/results/results_glm_poisson_weights.py,sha256=lQfGM8U5dpYBFvUHlwL4vwZvbPiu6XaWdTJhgtb_-Ic,97644
statsmodels/genmod/tests/results/results_tweedie_aweights_nonrobust.csv,sha256=gK7jZkXh8Ozw9Sy4vFmrcFFWh3tVewL9hohxAbwtCao,402286
statsmodels/genmod/tests/results/stata_cancer_glm.csv,sha256=ihfsTU5rYwL0FRQ-Vrp9QCtJbCVtBah0ALTZZk00mbk,435
statsmodels/genmod/tests/results/stata_lbw_glm.csv,sha256=JPqEKAkwzUY-Ah6gEo7Mik9cPjmW7hCsAVxxBCKwVqs,6946
statsmodels/genmod/tests/results/stata_medpar1_glm.csv,sha256=1jkqDWJ_p-EpXz4r7HEUwfLVrPLsUomBeqPC3ENxV5g,53225
statsmodels/genmod/tests/test_bayes_mixed_glm.py,sha256=SI_V9u71OxZ1xp0K-rjbP9kuGJV8OKU6-JF4KMzTxPM,18777
statsmodels/genmod/tests/test_constrained.py,sha256=0YvCw87Nh13Tuca9Cj0hZFjdJPU6IrmnLdd4C8BWt_g,9494
statsmodels/genmod/tests/test_gee.py,sha256=w706ZGzlv4kTOpHgkFq-bVp6N_3Jes9OxJbKfJfxtHo,79480
statsmodels/genmod/tests/test_gee_glm.py,sha256=aPsQVOR0azFhPWepUz8gVkXTdkjwC8MuA5HdfqhZOHI,4419
statsmodels/genmod/tests/test_glm.py,sha256=619jR950s50wA5tcTybpnLKhMclMhGRkiJS0WUdWcyI,103087
statsmodels/genmod/tests/test_glm_weights.py,sha256=f31GCSt_BK-IaFVvp6o7dcUFi7obDizTNevYWa0NmPo,41044
statsmodels/genmod/tests/test_qif.py,sha256=nxoJH0daDgCy1C71bpepi7dQ4DC_00y3yuhHiVg28zA,4025
statsmodels/genmod/tests/test_score_test.py,sha256=1IoSNlikZJEe9o3sf3HNy3scQHCrG2dJsJ6EWF-q43k,8232
statsmodels/graphics/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/graphics/__pycache__/__init__.cpython-39.pyc,,
statsmodels/graphics/__pycache__/_regressionplots_doc.cpython-39.pyc,,
statsmodels/graphics/__pycache__/agreement.cpython-39.pyc,,
statsmodels/graphics/__pycache__/api.cpython-39.pyc,,
statsmodels/graphics/__pycache__/boxplots.cpython-39.pyc,,
statsmodels/graphics/__pycache__/correlation.cpython-39.pyc,,
statsmodels/graphics/__pycache__/dotplots.cpython-39.pyc,,
statsmodels/graphics/__pycache__/factorplots.cpython-39.pyc,,
statsmodels/graphics/__pycache__/functional.cpython-39.pyc,,
statsmodels/graphics/__pycache__/gofplots.cpython-39.pyc,,
statsmodels/graphics/__pycache__/mosaicplot.cpython-39.pyc,,
statsmodels/graphics/__pycache__/plot_grids.cpython-39.pyc,,
statsmodels/graphics/__pycache__/plottools.cpython-39.pyc,,
statsmodels/graphics/__pycache__/regressionplots.cpython-39.pyc,,
statsmodels/graphics/__pycache__/tsaplots.cpython-39.pyc,,
statsmodels/graphics/__pycache__/tukeyplot.cpython-39.pyc,,
statsmodels/graphics/__pycache__/utils.cpython-39.pyc,,
statsmodels/graphics/_regressionplots_doc.py,sha256=yyDXZt27J8XdJpyJ5mwpDkCIXRQNeNMpKB-bvY5dVIU,7948
statsmodels/graphics/agreement.py,sha256=q6kLNJAXFyKPe8x89iyAZYwp5Ft9qpEiA5j4zL1STsw,5462
statsmodels/graphics/api.py,sha256=8jFyMQmpG-fYpfz9iwTZI4cxPEa-78ccsubYTgk54sA,1011
statsmodels/graphics/boxplots.py,sha256=JaKWBD-FGzJ5FhXg1io4muN6_d3hGbKBzWVRTecXvIs,17104
statsmodels/graphics/correlation.py,sha256=88ePXGWOXU68w22ZZAjs9tSA2rSWLC8lrr2zG1lcLyA,7976
statsmodels/graphics/dotplots.py,sha256=0-lHWMyYoRSoW8fSRrI55BlVRh3kw2ZvSj7Sq_q_N5I,18392
statsmodels/graphics/factorplots.py,sha256=Qt0LRtCD7l8uPdxeM-rPyjbiau32rGH2DU3zetqSr4E,7610
statsmodels/graphics/functional.py,sha256=ciREiBRBA1A2YzhcO0b6qrjD5sOeSzt4gXg_GWRQGcU,32384
statsmodels/graphics/gofplots.py,sha256=Y0pig2OMceuZF1teaxV77DHHDU-SMXuNsOCDaLWo-NE,36665
statsmodels/graphics/mosaicplot.py,sha256=qX7J6yDbpTdmYBPjowy2jp37Zz4Of5tQPOSdcwTJhCU,27609
statsmodels/graphics/plot_grids.py,sha256=nWltHt6Oxk0wQD_K7XlYbd-gzzcbwOFTRhYlvHyKltQ,6234
statsmodels/graphics/plottools.py,sha256=P_l4bMyjrVfc4D-21YnWxfhJ_5dNDFnvDe7VSWJdZoI,662
statsmodels/graphics/regressionplots.py,sha256=NtqMyE-3BokJy2mI1EAUHMVIxVCQekhquQ5F02k_pQs,45414
statsmodels/graphics/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/graphics/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/graphics/tests/__pycache__/test_agreement.cpython-39.pyc,,
statsmodels/graphics/tests/__pycache__/test_boxplots.cpython-39.pyc,,
statsmodels/graphics/tests/__pycache__/test_correlation.cpython-39.pyc,,
statsmodels/graphics/tests/__pycache__/test_dotplot.cpython-39.pyc,,
statsmodels/graphics/tests/__pycache__/test_factorplots.cpython-39.pyc,,
statsmodels/graphics/tests/__pycache__/test_functional.cpython-39.pyc,,
statsmodels/graphics/tests/__pycache__/test_gofplots.cpython-39.pyc,,
statsmodels/graphics/tests/__pycache__/test_mosaicplot.cpython-39.pyc,,
statsmodels/graphics/tests/__pycache__/test_regressionplots.cpython-39.pyc,,
statsmodels/graphics/tests/__pycache__/test_tsaplots.cpython-39.pyc,,
statsmodels/graphics/tests/test_agreement.py,sha256=vcMGn2olzt0KqropjBn82hDoPYbYu5SsXVxOo0ZPF-M,1242
statsmodels/graphics/tests/test_boxplots.py,sha256=jsicAA_GCXQGHXTtgJCLAz_d6xgnvqLallEzyGmimhE,3560
statsmodels/graphics/tests/test_correlation.py,sha256=6lrnEEQbYzPa88y8JCr76VVtdmY5TuLN2NjQ0OELd60,876
statsmodels/graphics/tests/test_dotplot.py,sha256=0Jbbnpwn--bN_fy3jriHd_neHbkoPrxYdfW_UIGUbCs,15468
statsmodels/graphics/tests/test_factorplots.py,sha256=E0i8bAUFfz1iNY9Pr1gTMWouVjtJiHFBXU3LsvsI8lc,3105
statsmodels/graphics/tests/test_functional.py,sha256=xczFIyNaPGm9vY5318TIZbhtke33hZYs7Uqfr4-Ax50,9023
statsmodels/graphics/tests/test_gofplots.py,sha256=eTEjkbQtL-s4DqhswjfjdJSSzBMn2IG5JhZvTjAp0MM,22334
statsmodels/graphics/tests/test_mosaicplot.py,sha256=RNjqPIrb2qTvOu5dtMj8R4D1yV4_OETlTRzLOGk0i4E,19374
statsmodels/graphics/tests/test_regressionplots.py,sha256=wLW9Gcfjm4V8_Vj0hUruy39HoCG2Vjj9olKSmefWnzA,12571
statsmodels/graphics/tests/test_tsaplots.py,sha256=1w9XIquYPU-21CJu9M8C3NBh80WXEU8OD9WWOqPLqN4,9969
statsmodels/graphics/tsaplots.py,sha256=SVjo4vx4m42FzMQ1XFwShCPOPwpFpgj54ViWGDovN44,20162
statsmodels/graphics/tukeyplot.py,sha256=fM6sDLkXRjIWy0nc230lY94aESgqX3h1PFzKmROxVb0,2467
statsmodels/graphics/utils.py,sha256=TQWckN63GYBdMQEMii_rJuYD-uAA1AOQnR7sEh-_Dd8,4179
statsmodels/imputation/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/imputation/__pycache__/__init__.cpython-39.pyc,,
statsmodels/imputation/__pycache__/bayes_mi.cpython-39.pyc,,
statsmodels/imputation/__pycache__/mice.cpython-39.pyc,,
statsmodels/imputation/__pycache__/ros.cpython-39.pyc,,
statsmodels/imputation/bayes_mi.py,sha256=rl_j4X-cT7mgKgGp8KWuIA9zdQDJ2-1B3ni270PDOqk,13934
statsmodels/imputation/mice.py,sha256=wZ-3kgZgKoQjys2WHEVs4DKGTCQO41AUYQsVKp7tsPw,46403
statsmodels/imputation/ros.py,sha256=b836nrTf-tkfY8KXKrLVfPQFgvYREIX_67ekv2PNhq0,19443
statsmodels/imputation/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/imputation/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/imputation/tests/__pycache__/test_bayes_mi.cpython-39.pyc,,
statsmodels/imputation/tests/__pycache__/test_mice.cpython-39.pyc,,
statsmodels/imputation/tests/__pycache__/test_ros.cpython-39.pyc,,
statsmodels/imputation/tests/test_bayes_mi.py,sha256=-AOLb8JOa07lkxp8Ei63FcVlo1494548d-0t2nOaA44,5253
statsmodels/imputation/tests/test_mice.py,sha256=EfS415SQK-_aUAe6bw81iZlJtTog0iIV0gCnEknqRdY,12819
statsmodels/imputation/tests/test_ros.py,sha256=YKDxhOHAoyoZhdHl9RNoUk7FPk1hDlTASCtwEx1pJvw,28566
statsmodels/interface/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/interface/__pycache__/__init__.cpython-39.pyc,,
statsmodels/iolib/__init__.py,sha256=SCR16J3iDO51jQ9YK6TkWijHkfQP41ddcf1sPTSPuyc,298
statsmodels/iolib/__pycache__/__init__.cpython-39.pyc,,
statsmodels/iolib/__pycache__/api.cpython-39.pyc,,
statsmodels/iolib/__pycache__/foreign.cpython-39.pyc,,
statsmodels/iolib/__pycache__/openfile.cpython-39.pyc,,
statsmodels/iolib/__pycache__/smpickle.cpython-39.pyc,,
statsmodels/iolib/__pycache__/stata_summary_examples.cpython-39.pyc,,
statsmodels/iolib/__pycache__/summary.cpython-39.pyc,,
statsmodels/iolib/__pycache__/summary2.cpython-39.pyc,,
statsmodels/iolib/__pycache__/table.cpython-39.pyc,,
statsmodels/iolib/__pycache__/tableformatting.cpython-39.pyc,,
statsmodels/iolib/api.py,sha256=y97RsMdQtSgDlRXegj9VRT3clXJztRmcqtIdJyZhIS8,209
statsmodels/iolib/foreign.py,sha256=onGYDfD06p2Rs9EYK0qy0XtnxEB88fYYV2nwPlVwNao,4485
statsmodels/iolib/openfile.py,sha256=Zh8cJMY_5MAzHkjhtQKMN-JtVJS6n0ZqK1b2p2kyBbI,2216
statsmodels/iolib/smpickle.py,sha256=fycCZ_VCXQe-bPUgp04pYEBX0rzmn_Qnp1hKUmNJF7w,964
statsmodels/iolib/stata_summary_examples.py,sha256=Lvs2DnX3zEKEJSc9G3bhhihuB21TpP_M05bLHY0CeAc,4699
statsmodels/iolib/summary.py,sha256=7POPsBGlTDOVuuBahZawO59YYVwBU8UWQYmO1pobLaM,31615
statsmodels/iolib/summary2.py,sha256=2dy8vlZHEI01LyuvmDNEjiLRG6ZoNnOtzF_IXjuiqWM,22021
statsmodels/iolib/table.py,sha256=WhIWFPop66z-WhfELNn9kP_EMrNMoeR820vKfq20DHk,34142
statsmodels/iolib/tableformatting.py,sha256=lPdjsENGSWTOzSzEs8MWc_3xdDFzuLVfj6FHbN8yzPo,3614
statsmodels/iolib/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/iolib/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/iolib/tests/__pycache__/test_pickle.cpython-39.pyc,,
statsmodels/iolib/tests/__pycache__/test_summary.cpython-39.pyc,,
statsmodels/iolib/tests/__pycache__/test_summary2.cpython-39.pyc,,
statsmodels/iolib/tests/__pycache__/test_summary_old.cpython-39.pyc,,
statsmodels/iolib/tests/__pycache__/test_table.cpython-39.pyc,,
statsmodels/iolib/tests/__pycache__/test_table_econpy.cpython-39.pyc,,
statsmodels/iolib/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/iolib/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/iolib/tests/results/__pycache__/macrodata.cpython-39.pyc,,
statsmodels/iolib/tests/results/data_missing.dta,sha256=BqDWGqR2JOVEqy8xrmyFj071kc-PujilaVJ27bE9Pss,1130
statsmodels/iolib/tests/results/macrodata.py,sha256=d4VgU_bOCUIz1Afk1y4OAMs82K9LhYoNTPnxyRu1oYA,23982
statsmodels/iolib/tests/results/time_series_examples.dta,sha256=gu5nIm245mw9hWRhfAK2pHybxai0Ca7kwfjVScxZE9g,1760
statsmodels/iolib/tests/test_pickle.py,sha256=zxLqmK0vBsnzThsjRtRLssyIq2H4Q93VXDBbAbbUmJk,1806
statsmodels/iolib/tests/test_summary.py,sha256=IMEhMJr06JFBEhA17IwU6_4jZvAa4Fbj6Az7yFdHxvw,2365
statsmodels/iolib/tests/test_summary2.py,sha256=VGx_Q3FaB_wvBzdnoubMqvdqWnn3FHXqFE3R_AlywgA,5440
statsmodels/iolib/tests/test_summary_old.py,sha256=TDML9wVz08UkmD8tRvSVYQliEkcqX8FS9_9iOcdKwh0,3587
statsmodels/iolib/tests/test_table.py,sha256=vlCer5fiLEovvmyYD4_VTWsqvYN1cGG029lKCRak-Cc,9078
statsmodels/iolib/tests/test_table_econpy.py,sha256=2Xq4GXU4ltuyuoulxcyXsutqIv6P_f4pZInhnQodCaI,4353
statsmodels/miscmodels/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/miscmodels/__pycache__/__init__.cpython-39.pyc,,
statsmodels/miscmodels/__pycache__/api.cpython-39.pyc,,
statsmodels/miscmodels/__pycache__/count.cpython-39.pyc,,
statsmodels/miscmodels/__pycache__/nonlinls.cpython-39.pyc,,
statsmodels/miscmodels/__pycache__/ordinal_model.cpython-39.pyc,,
statsmodels/miscmodels/__pycache__/tmodel.cpython-39.pyc,,
statsmodels/miscmodels/__pycache__/try_mlecov.cpython-39.pyc,,
statsmodels/miscmodels/api.py,sha256=Q5YgrreY3e0lEg44eshkM9cClITAtOuwoYJHIcJCvHc,246
statsmodels/miscmodels/count.py,sha256=k5HxIDbrWQy4YlIKbVgeqyefYChBKDaY1ddudiBfeaU,8408
statsmodels/miscmodels/nonlinls.py,sha256=sR_FbeQabAEtGR_sBX9cYyv870gwB8oThLAHJMeuP0E,9641
statsmodels/miscmodels/ordinal_model.py,sha256=wn7JTjoEN4L1sle_9dXntwtPblm3DIoM4MSI3vyWf94,25167
statsmodels/miscmodels/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/miscmodels/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/miscmodels/tests/__pycache__/results_tmodel.cpython-39.pyc,,
statsmodels/miscmodels/tests/__pycache__/test_generic_mle.cpython-39.pyc,,
statsmodels/miscmodels/tests/__pycache__/test_ordinal_model.cpython-39.pyc,,
statsmodels/miscmodels/tests/__pycache__/test_poisson.cpython-39.pyc,,
statsmodels/miscmodels/tests/__pycache__/test_tarma.cpython-39.pyc,,
statsmodels/miscmodels/tests/__pycache__/test_tmodel.cpython-39.pyc,,
statsmodels/miscmodels/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/miscmodels/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/miscmodels/tests/results/__pycache__/results_ordinal_model.cpython-39.pyc,,
statsmodels/miscmodels/tests/results/ologit_ucla.csv,sha256=HqAu0JdSwd_14v7PzD1Cu4M1xU4S7jcnbVBPdy6iCh8,8679
statsmodels/miscmodels/tests/results/results_ordinal_model.py,sha256=xKIwn4_EgY19L1Ko4GAlkp0XL8WgWVp1RmdDuVc5Y4I,5575
statsmodels/miscmodels/tests/results_tmodel.py,sha256=OlHdcHN_eiXWVvCjefzARvDgw6LqDUxuV7Amg8tcTh8,12185
statsmodels/miscmodels/tests/test_generic_mle.py,sha256=qZW3jLTbst68OacS-z7VI0zj7Fe4TXx1ECn4dST6394,7336
statsmodels/miscmodels/tests/test_ordinal_model.py,sha256=2TfpxF7PuGGcQg-ddlvm_dcxoZgwFFnUbRZhWQ-761E,19898
statsmodels/miscmodels/tests/test_poisson.py,sha256=MSImLH24l5QG29smMlXXdAce4BtDi6JQMfHGYPrTR6c,7759
statsmodels/miscmodels/tests/test_tarma.py,sha256=XpREYYnr05rgGFq8Hb9co4f-NcmZYhpqqnZ0ypLGOLU,4756
statsmodels/miscmodels/tests/test_tmodel.py,sha256=NRigIrRd9nQ4DVAObnYpkLMB8A6TH09Askp0UE_fFbw,7477
statsmodels/miscmodels/tmodel.py,sha256=-bL1pQYTNYggSBCNRS6EZ1TNcy_9FvywOdMzyJmicvE,7327
statsmodels/miscmodels/try_mlecov.py,sha256=GsXx8OL_bKlE0VHN0-w_cHqTLvNI9KL8Q12fodlNdTk,7194
statsmodels/multivariate/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/multivariate/__pycache__/__init__.cpython-39.pyc,,
statsmodels/multivariate/__pycache__/api.cpython-39.pyc,,
statsmodels/multivariate/__pycache__/cancorr.cpython-39.pyc,,
statsmodels/multivariate/__pycache__/factor.cpython-39.pyc,,
statsmodels/multivariate/__pycache__/manova.cpython-39.pyc,,
statsmodels/multivariate/__pycache__/multivariate_ols.cpython-39.pyc,,
statsmodels/multivariate/__pycache__/pca.cpython-39.pyc,,
statsmodels/multivariate/__pycache__/plots.cpython-39.pyc,,
statsmodels/multivariate/api.py,sha256=DPLApuYCC9z4J6TUOZem8sCE-88giCzLIkVl04QZsPY,255
statsmodels/multivariate/cancorr.py,sha256=EUfdVTevU5FI3geiNEBGIrAhggWVvBw2rvbbvR43sWo,6113
statsmodels/multivariate/factor.py,sha256=xHoDA3r1_rvBs9fOKmzRZNbXlVOUCX0sfGaHSO2KSaA,36575
statsmodels/multivariate/factor_rotation/__init__.py,sha256=LBZqJcE6Qmyvivi3ACuIBjfHVlYyH-nNclmc8-lTfBo,1289
statsmodels/multivariate/factor_rotation/__pycache__/__init__.cpython-39.pyc,,
statsmodels/multivariate/factor_rotation/__pycache__/_analytic_rotation.cpython-39.pyc,,
statsmodels/multivariate/factor_rotation/__pycache__/_gpa_rotation.cpython-39.pyc,,
statsmodels/multivariate/factor_rotation/__pycache__/_wrappers.cpython-39.pyc,,
statsmodels/multivariate/factor_rotation/_analytic_rotation.py,sha256=wap1h-m1yRuCeI1rzTG98fBFjXlqEXiAn3hlGAd3srQ,4161
statsmodels/multivariate/factor_rotation/_gpa_rotation.py,sha256=23sswvnpkZKVPpGyybJCOXV33HNtodvBgrcpIBSyZhw,19249
statsmodels/multivariate/factor_rotation/_wrappers.py,sha256=u5brU45wY2RVIvwU9om4aJW5VnmPGBWFmpTdH8Dg9D8,13990
statsmodels/multivariate/factor_rotation/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/multivariate/factor_rotation/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/multivariate/factor_rotation/tests/__pycache__/test_rotation.cpython-39.pyc,,
statsmodels/multivariate/factor_rotation/tests/test_rotation.py,sha256=zhpbsW4YDi0rewLAGUBNhXa3LeS0ifdbRMaqJcp3QhA,22389
statsmodels/multivariate/manova.py,sha256=WN_8v1rhlhTxUJT8gEE__Tm7T_EEelmS7lHOk9ruYXA,4442
statsmodels/multivariate/multivariate_ols.py,sha256=W5ecXsqDd_QPpzaP805TVLn3n7wl2FOUuj6jzJq5HJU,21105
statsmodels/multivariate/pca.py,sha256=8PhBwycMWyIEWLkvdBuWUnc2JD37hbcPMEOTm5XewEk,33957
statsmodels/multivariate/plots.py,sha256=8AYk9OVCtv657oFihcSF1KvpS_zBPTKtCLAgqcckHQc,4508
statsmodels/multivariate/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/multivariate/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/multivariate/tests/__pycache__/test_cancorr.cpython-39.pyc,,
statsmodels/multivariate/tests/__pycache__/test_factor.cpython-39.pyc,,
statsmodels/multivariate/tests/__pycache__/test_manova.cpython-39.pyc,,
statsmodels/multivariate/tests/__pycache__/test_ml_factor.cpython-39.pyc,,
statsmodels/multivariate/tests/__pycache__/test_multivariate_ols.cpython-39.pyc,,
statsmodels/multivariate/tests/__pycache__/test_pca.cpython-39.pyc,,
statsmodels/multivariate/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/multivariate/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/multivariate/tests/results/__pycache__/datamlw.cpython-39.pyc,,
statsmodels/multivariate/tests/results/datamlw.py,sha256=MSqr6bmXJbrcwcuDh4TaKRY-_553YIEutgb4XocxF_0,15865
statsmodels/multivariate/tests/results/factor_data.csv,sha256=4Cu5zThP4cSay1ZQaLh7UjD2kOmeoDy8PXtaTxUMjD4,3820
statsmodels/multivariate/tests/results/factors_stata.csv,sha256=ooROHqMOBG-BLdXSKDXyyLJ9I70djrMnBPm_ZsYZXyg,8452
statsmodels/multivariate/tests/test_cancorr.py,sha256=2LI-ARJTT3HYwRiuq11G4LKmUaXef40RP2HIOPRBY5c,5443
statsmodels/multivariate/tests/test_factor.py,sha256=55KKfN7q0mV_G_XFfDdBfefzYea-KzpbOGhH-hcm3eo,11856
statsmodels/multivariate/tests/test_manova.py,sha256=KsZVOUqmPf-H3ovf6fzNfUKrDhVFjAThAb8zUKQ4AT0,8561
statsmodels/multivariate/tests/test_ml_factor.py,sha256=kpwTgUYzhfoB0YgV2LV5yyDHxHa0lLMzA4_TVJpEXmo,6332
statsmodels/multivariate/tests/test_multivariate_ols.py,sha256=hN2ePRmvpt2nthcbf9zQY1xanMw7x6P7v12EydtBiag,9208
statsmodels/multivariate/tests/test_pca.py,sha256=U-d80_bL6ebD8tNwJ6j_2aAAJngpigmOfRt9pIlT_dY,16995
statsmodels/nonparametric/__init__.py,sha256=vT17z9WQNhvsDWZ6YUqacOZhsqBVSIyXCwXAZoNm_VQ,238
statsmodels/nonparametric/__pycache__/__init__.cpython-39.pyc,,
statsmodels/nonparametric/__pycache__/_kernel_base.cpython-39.pyc,,
statsmodels/nonparametric/__pycache__/api.cpython-39.pyc,,
statsmodels/nonparametric/__pycache__/bandwidths.cpython-39.pyc,,
statsmodels/nonparametric/__pycache__/kde.cpython-39.pyc,,
statsmodels/nonparametric/__pycache__/kdetools.cpython-39.pyc,,
statsmodels/nonparametric/__pycache__/kernel_density.cpython-39.pyc,,
statsmodels/nonparametric/__pycache__/kernel_regression.cpython-39.pyc,,
statsmodels/nonparametric/__pycache__/kernels.cpython-39.pyc,,
statsmodels/nonparametric/__pycache__/kernels_asymmetric.cpython-39.pyc,,
statsmodels/nonparametric/__pycache__/smoothers_lowess.cpython-39.pyc,,
statsmodels/nonparametric/__pycache__/smoothers_lowess_old.cpython-39.pyc,,
statsmodels/nonparametric/_kernel_base.py,sha256=ZFoDfMs4lZUG7lezQMEn130yyz46zYQj26WzTmRAKLU,18839
statsmodels/nonparametric/_smoothers_lowess.cp39-win_amd64.pyd,sha256=vrlKPIkehDCbFbc05d4TXloc0dyW6kdOQPfHcr2kqDY,168448
statsmodels/nonparametric/api.py,sha256=ex-EmDiK4ddkQ8l--qSjolivkhihIBn-rTFCHdrB0ao,547
statsmodels/nonparametric/bandwidths.py,sha256=cXI7D41jK-Jj6hHWs3AfUKcezJrGjPzuAJRVyJ6m8IQ,4762
statsmodels/nonparametric/kde.py,sha256=Tn-mvzM-93T7TN6qNqULGzGvoKKBgMJt_zfiDe1UbAg,19728
statsmodels/nonparametric/kdetools.py,sha256=lSyli-RBU-7ShpYd5O65cUmfoN3nou8vTZ6QTgPVCys,1405
statsmodels/nonparametric/kernel_density.py,sha256=ioAD94df7EwSbPWPdodGZ-LxYreGgwYuehRg2YoM-Ig,26573
statsmodels/nonparametric/kernel_regression.py,sha256=I02_l_oNEHNiYKiAPmMwmqbJYBLKoSVVcao12IwfV4w,35799
statsmodels/nonparametric/kernels.py,sha256=DZpPkBRp8sIFosohIHDrrJ8ztALXFDLrZZN-S3JJR2c,7223
statsmodels/nonparametric/kernels_asymmetric.py,sha256=yNTxTL-2qG3VqQXzQXX_T8x4djBFth9RQV8CMIOWibY,27363
statsmodels/nonparametric/linbin.cp39-win_amd64.pyd,sha256=OZLrEzSqq1fe6hxLts3ebr0p2jm3biVzRFcfqlHUcYg,43008
statsmodels/nonparametric/smoothers_lowess.py,sha256=OEkmW_i83Cq-hWZgbIyNCeFoVyHl5lnutAK1yQtPJQw,10390
statsmodels/nonparametric/smoothers_lowess_old.py,sha256=h9W1lNAPBbbizOAOmSucdmoIpCfxE2ISeUXZsKCRoZc,10740
statsmodels/nonparametric/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/nonparametric/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/nonparametric/tests/__pycache__/test_asymmetric.cpython-39.pyc,,
statsmodels/nonparametric/tests/__pycache__/test_bandwidths.cpython-39.pyc,,
statsmodels/nonparametric/tests/__pycache__/test_kde.cpython-39.pyc,,
statsmodels/nonparametric/tests/__pycache__/test_kernel_density.cpython-39.pyc,,
statsmodels/nonparametric/tests/__pycache__/test_kernel_regression.cpython-39.pyc,,
statsmodels/nonparametric/tests/__pycache__/test_kernels.cpython-39.pyc,,
statsmodels/nonparametric/tests/__pycache__/test_lowess.cpython-39.pyc,,
statsmodels/nonparametric/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/nonparametric/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/nonparametric/tests/results/results_kcde.csv,sha256=HjXujtiTpVzvT46nGPpuG6zZ6bsZoqdvlV1STQC21eo,12288
statsmodels/nonparametric/tests/results/results_kde.csv,sha256=9KrpTJmZSlfOh4LItPdxkFiQ9cxVsF5UFfdNHtGww0Q,9779
statsmodels/nonparametric/tests/results/results_kde_fft.csv,sha256=VscsaPY61SHfIjTnL1A8-GAamwycdLnh5zco_JLFTvs,13312
statsmodels/nonparametric/tests/results/results_kde_univ_weights.csv,sha256=0pHvvCxEpYfcK7zT0eHwNQRxi6ysMlarMXMzZaXejgM,6104
statsmodels/nonparametric/tests/results/results_kde_weights.csv,sha256=hcoWNkmM5mLbDWlqmtkrKb4itDA35crE9b26GwXAGa8,913
statsmodels/nonparametric/tests/results/results_kernel_regression.csv,sha256=xYdlJi1vlwHPKM4JO_b0nps8Vjp8jWjscdGXLPuQi10,6841
statsmodels/nonparametric/tests/results/test_lowess_delta.csv,sha256=thG6BAfa6Z71IG5cY_FLia6ueg7Og-Obj1CdfQmwmNQ,8505
statsmodels/nonparametric/tests/results/test_lowess_frac.csv,sha256=w5pTrx0PTpGmX1R6oE8zD4ojTzEFB7vHDWRTkuVXWDw,2211
statsmodels/nonparametric/tests/results/test_lowess_iter.csv,sha256=dXhwwXbbJXM6Jre8Ja9_SXe4fk1IDDRmQnsCZW-ZppQ,999
statsmodels/nonparametric/tests/results/test_lowess_simple.csv,sha256=smNVW0InhfWuJSX7fnpsJ0X-M0ecSbDO1aUc4GHHJDc,652
statsmodels/nonparametric/tests/test_asymmetric.py,sha256=6SK-SjncruVCZWwDdRcTsomCULbzuQQJCRy51Z4coNo,4854
statsmodels/nonparametric/tests/test_bandwidths.py,sha256=TOGtx5Xy_lLPjIyCruk2gDJ_j2cZ8S7gKQFin6MuA9s,2597
statsmodels/nonparametric/tests/test_kde.py,sha256=FtFjFmJxMOkV52NCFLoxpmLgYAOjdP8WkeESJBTMqBc,13217
statsmodels/nonparametric/tests/test_kernel_density.py,sha256=g0fTXAt-m2rTkZT5NttbsKpYWwP6ufvwJrZL3nxQcJU,19278
statsmodels/nonparametric/tests/test_kernel_regression.py,sha256=qPBhiU1-4DXVO4Uld3cd6ih20JPgsC7z-nF9ydYd3eE,16321
statsmodels/nonparametric/tests/test_kernels.py,sha256=PO4pM38ilC-cUq1RO55bF-oC2NB_1OJweOC3eAE-smU,5102
statsmodels/nonparametric/tests/test_lowess.py,sha256=PA4id9KzTE5Jj_AVejN6lpd_-5S-ksw4yt-77BgHJx0,10762
statsmodels/othermod/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/othermod/__pycache__/__init__.cpython-39.pyc,,
statsmodels/othermod/__pycache__/api.cpython-39.pyc,,
statsmodels/othermod/__pycache__/betareg.cpython-39.pyc,,
statsmodels/othermod/api.py,sha256=7ENwoOuoRMFVNhK0sYM7_bjLptAArgQaPnyRGS9GZUI,59
statsmodels/othermod/betareg.py,sha256=9SFziQVeRpy7_eUyZ2cyyjfP-nNcVyXnJcungEw1U5o,28927
statsmodels/othermod/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/othermod/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/othermod/tests/__pycache__/test_beta.cpython-39.pyc,,
statsmodels/othermod/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/othermod/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/othermod/tests/results/__pycache__/results_betareg.cpython-39.pyc,,
statsmodels/othermod/tests/results/foodexpenditure.csv,sha256=TZc4pEyzIWyYf3C6FzF3eIk_97RvszzOkUK6avMCPwY,654
statsmodels/othermod/tests/results/methylation-test.csv,sha256=gxj8Lqg6Cxre_Ol2OC7cOv7fZvLSp2qBlNpfWc1WiXY,2957
statsmodels/othermod/tests/results/resid_methylation.csv,sha256=plTrT_8cwK2Q_x694hc1Cy6yF6YA9zhmWicAU9oyVeo,4801
statsmodels/othermod/tests/results/results_betareg.py,sha256=u4e765m5-rrkvM1ObgBHrLFBZalQCnOFUUz-6weJtes,3485
statsmodels/othermod/tests/test_beta.py,sha256=X-20nuf2zK2RPrde8RrNOp3-ol1-KnTEzdYNDXJgawI,12272
statsmodels/regression/__init__.py,sha256=yNBFftu_rKnKiVO_-C1Nu6y1NxpupxAobW96XL4N3rI,156
statsmodels/regression/__pycache__/__init__.cpython-39.pyc,,
statsmodels/regression/__pycache__/_prediction.cpython-39.pyc,,
statsmodels/regression/__pycache__/_tools.cpython-39.pyc,,
statsmodels/regression/__pycache__/dimred.cpython-39.pyc,,
statsmodels/regression/__pycache__/feasible_gls.cpython-39.pyc,,
statsmodels/regression/__pycache__/linear_model.cpython-39.pyc,,
statsmodels/regression/__pycache__/mixed_linear_model.cpython-39.pyc,,
statsmodels/regression/__pycache__/process_regression.cpython-39.pyc,,
statsmodels/regression/__pycache__/quantile_regression.cpython-39.pyc,,
statsmodels/regression/__pycache__/recursive_ls.cpython-39.pyc,,
statsmodels/regression/__pycache__/rolling.cpython-39.pyc,,
statsmodels/regression/_prediction.py,sha256=BwJXRwOUDAi1hh9wk0AnwoyhIk_CbAKLiHG0FTxK8Y8,6938
statsmodels/regression/_tools.py,sha256=c7juPqKESG1b-ML_hnt60nvH2sQlFMxG8spLyva1IrM,4466
statsmodels/regression/dimred.py,sha256=K7XGqRpPEyqHZyWpqq3JNLYveJekZ99EvNaOSZsl5Dk,21048
statsmodels/regression/feasible_gls.py,sha256=QVBoeb4ZtGBNFoCdRQn1Q8gezIXCte0CBzBnHjlR8i4,7241
statsmodels/regression/linear_model.py,sha256=qzT0LTDPgdXjLhFvIK-vJqPYlEpue5I1KwI7VRPa76o,119449
statsmodels/regression/mixed_linear_model.py,sha256=c706BJpF4laSdVbYTsFszPSXIleHPm4Ta2OPHqWw9Ro,107481
statsmodels/regression/process_regression.py,sha256=mYkbhoZm7DfVCh2S_Bha3xIoqjqzOyCP9L6EoSqR3l0,29583
statsmodels/regression/quantile_regression.py,sha256=Sy6lSUvPGfdNk-hD_jS2EOdvv9pG47HtRRavx0CacNU,14531
statsmodels/regression/recursive_ls.py,sha256=39JttzPfsTBWEQ9YRDHflJzngJpQIS0WW3MH7VPOaSo,32809
statsmodels/regression/rolling.py,sha256=Rn-bhfSy2Dtv0fdn7Gv-F3ki2u-G0jcvRhEhSqz1kZk,29387
statsmodels/regression/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/regression/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/regression/tests/__pycache__/test_cov.cpython-39.pyc,,
statsmodels/regression/tests/__pycache__/test_dimred.cpython-39.pyc,,
statsmodels/regression/tests/__pycache__/test_glsar_gretl.cpython-39.pyc,,
statsmodels/regression/tests/__pycache__/test_glsar_stata.cpython-39.pyc,,
statsmodels/regression/tests/__pycache__/test_lme.cpython-39.pyc,,
statsmodels/regression/tests/__pycache__/test_predict.cpython-39.pyc,,
statsmodels/regression/tests/__pycache__/test_processreg.cpython-39.pyc,,
statsmodels/regression/tests/__pycache__/test_quantile_regression.cpython-39.pyc,,
statsmodels/regression/tests/__pycache__/test_recursive_ls.cpython-39.pyc,,
statsmodels/regression/tests/__pycache__/test_regression.cpython-39.pyc,,
statsmodels/regression/tests/__pycache__/test_robustcov.cpython-39.pyc,,
statsmodels/regression/tests/__pycache__/test_rolling.cpython-39.pyc,,
statsmodels/regression/tests/__pycache__/test_theil.cpython-39.pyc,,
statsmodels/regression/tests/__pycache__/test_tools.cpython-39.pyc,,
statsmodels/regression/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/regression/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/regression/tests/results/__pycache__/generate_lasso.cpython-39.pyc,,
statsmodels/regression/tests/results/__pycache__/generate_lme.cpython-39.pyc,,
statsmodels/regression/tests/results/__pycache__/glmnet_r_results.cpython-39.pyc,,
statsmodels/regression/tests/results/__pycache__/lme_r_results.cpython-39.pyc,,
statsmodels/regression/tests/results/__pycache__/macro_gr_corc_stata.cpython-39.pyc,,
statsmodels/regression/tests/results/__pycache__/results_grunfeld_ols_robust_cluster.cpython-39.pyc,,
statsmodels/regression/tests/results/__pycache__/results_macro_ols_robust.cpython-39.pyc,,
statsmodels/regression/tests/results/__pycache__/results_quantile_regression.cpython-39.pyc,,
statsmodels/regression/tests/results/__pycache__/results_regression.cpython-39.pyc,,
statsmodels/regression/tests/results/__pycache__/results_theil_textile.cpython-39.pyc,,
statsmodels/regression/tests/results/dietox.csv,sha256=0EGpvlLCdp9NCGL2TmcSI6EAxgijtmQ1QjiRcJV6zQA,30718
statsmodels/regression/tests/results/generate_lasso.py,sha256=L85SgUmDU5dxNPHcQTeLNJRr14BGqIe80m_3MYe6NSM,659
statsmodels/regression/tests/results/generate_lme.py,sha256=EMEgBXD6q_oI80Y5NgmmoXRUXxfGEFpmv3w20ADTEYQ,2105
statsmodels/regression/tests/results/glmnet_r_results.py,sha256=fqX5Zb-2lyImkklRfrK0yMZREf8ycp05rAK8UcW2s84,7113
statsmodels/regression/tests/results/lasso_data.csv,sha256=M6cb1Cvxxv_rdx3labq-tBxuQuCHCrOPNEvY9oCIk0o,7134
statsmodels/regression/tests/results/leverage_influence_ols_nostars.txt,sha256=yo_AN_PG5GAyrS2AZXeWDFeVBaa74-Iqvyho1h7ZVMo,14752
statsmodels/regression/tests/results/lme00.csv,sha256=Cetlt111r4Ug35eSXCNiHR1slTNiwIz0Q6oAuVGERZE,6501
statsmodels/regression/tests/results/lme01.csv,sha256=5GloHhcbyxBKgptphugIQSlpZwQLbY32agQnNoD2VX4,6865
statsmodels/regression/tests/results/lme02.csv,sha256=x-7P91n3HcUv36MWGferXPCoQRyOPHpIB3E0B95LaJ8,7890
statsmodels/regression/tests/results/lme03.csv,sha256=A6tHE_192m4ztUK0ATAIzmQfz7_dJW4nx0vCvvLigVA,7691
statsmodels/regression/tests/results/lme04.csv,sha256=Ub03b2buhGrshLPgzsn6L54_l7HLIpPi8eTWYUEAkYc,10122
statsmodels/regression/tests/results/lme05.csv,sha256=kWyWazZuQS1StTk2HbBIobqGrgaQG_zYy64cd5uBcno,10743
statsmodels/regression/tests/results/lme06.csv,sha256=PITyGI7SZyqLy7KRf2qm6907hqvwqABuzexJ_BnRNfs,8729
statsmodels/regression/tests/results/lme07.csv,sha256=3qIOsAjryV7pZfN7LzoCC3Tconl8f1X324TtYDFL4og,8764
statsmodels/regression/tests/results/lme08.csv,sha256=F4eUUUKWhZSW7duXp2ISFYWXwMt_AC77wyV36mAnkCQ,10003
statsmodels/regression/tests/results/lme09.csv,sha256=xyD5vedRQv_v_WQfAGqowQ20GxBYIBuWiPZbqpbOKac,10246
statsmodels/regression/tests/results/lme10.csv,sha256=ZmmGD5BzuWaFEK-hkRnzQ5tEf4zsv_6gTwU5kgT0BW0,12246
statsmodels/regression/tests/results/lme11.csv,sha256=Gad8ameoimy5R2XfhcLDRftOxuBTrgvN15oDCMh_mkI,12168
statsmodels/regression/tests/results/lme_r_results.py,sha256=nHO5py-F5rqcZOz_niVRmchLCL6dP_3PC8JUWhG2Wvo,16227
statsmodels/regression/tests/results/macro_gr_corc_stata.py,sha256=bs7TtXXRjTiwzkMCCyCjfYl47Wscegs-hgFHtHH-E58,11614
statsmodels/regression/tests/results/pastes.csv,sha256=_vbwm92z74mcXfzJPYFhx1JGJVwmgk73kzGdKFqXQu4,1518
statsmodels/regression/tests/results/results_grunfeld_ols_robust_cluster.py,sha256=rdqBgToQI-_Q2xLkjtCdXPt7a5a8LKBefOVIadF40Hk,24369
statsmodels/regression/tests/results/results_macro_ols_robust.py,sha256=PkbgzHW9Ug1TzM5mWgaxPLWauLZsRkxsi4gSk1DYnYQ,13407
statsmodels/regression/tests/results/results_quantile_regression.py,sha256=M-gta7D7ZQfEwzlb7Pm4RVPgI2Lfw5qThtPqyY92zJ0,28283
statsmodels/regression/tests/results/results_regression.py,sha256=vv4WBp-iMGi3VY3bnD9Q_WM_p5oOaDqjzt70eJejcYA,10042
statsmodels/regression/tests/results/results_rls_R.csv,sha256=T_eUARSthwqc3SNNjxZR-sxncKCgttLPztL2hFppm6Q,14488
statsmodels/regression/tests/results/results_rls_stata.csv,sha256=Eb3g-tyfJlp071B-wojlODwKs-EVEZ4lZ8qtMNQzEIo,13312
statsmodels/regression/tests/results/results_theil_textile.py,sha256=XW3mqHp_kslNVuHlsY76VErK757neN1cqV0B10p9MPY,2268
statsmodels/regression/tests/results/theil_textile_predict.csv,sha256=BheM-60faNyIkCVdweH7ZUrHjOCUBtTTFblNy2xQt-Y,383
statsmodels/regression/tests/test_cov.py,sha256=sQr0VunVZ8azfENt7ugwAvlnM-CXs51D2INlmzraQp4,1223
statsmodels/regression/tests/test_dimred.py,sha256=eOnnz4JrmOB4VMvkbLjUTG3Wc15dekPxwQ5deY_l5SU,6899
statsmodels/regression/tests/test_glsar_gretl.py,sha256=JMhdS6x0XtqrLIQ4DdzdliZjFii4VzhOlUu4-bwMPVs,26602
statsmodels/regression/tests/test_glsar_stata.py,sha256=UsVGt7R7cpoGRYuG6e5vWmXHwZB4t9-k7FaE0uA8Mh0,3545
statsmodels/regression/tests/test_lme.py,sha256=Lcfp-9eWwUs-3pU_Ragz3cowGsg_Un-pFpXOxcxf3EI,46356
statsmodels/regression/tests/test_predict.py,sha256=q8wPevc9MffWC3gT5LIS16lNt_dD_8U_POzV8EaowAA,10405
statsmodels/regression/tests/test_processreg.py,sha256=p7ka0Nfkl7l6v-iNflAT1RANZQPCyKxa0K4yeCNdj9o,6163
statsmodels/regression/tests/test_quantile_regression.py,sha256=XH4sdjeduCdJktmDZwMFlXv5oKS0LQzi5aP70V2x66k,11442
statsmodels/regression/tests/test_recursive_ls.py,sha256=4R1IVZZATyy1cUPZxmcI_-m8s26Gtt8f0bk9EjY25v4,19070
statsmodels/regression/tests/test_regression.py,sha256=gXRUOrFaa-P7ZZAsduk6o7XlM22Ag0lK_LIN8g3hqpw,53864
statsmodels/regression/tests/test_robustcov.py,sha256=zj6U2dAmR9cIyxvrNkBsYXnhYWXVxZsX-HOXNsGOYN8,34277
statsmodels/regression/tests/test_rolling.py,sha256=nCYfAFdwykmvOhx-FFla2zLHo9WEpbIRYTFAmWCmyNo,10839
statsmodels/regression/tests/test_theil.py,sha256=At_PncbHQ90twTpoTazXq0kXU9z6BD8HKEzx9rpK_jI,13867
statsmodels/regression/tests/test_tools.py,sha256=gshYdWn93JXKel4L5Q7Ng1Hq36SkF4hVFGkYG677gXo,2738
statsmodels/robust/__init__.py,sha256=9ry1dHscuDzavgKVlZsOUr-i_FeEAHY-DuZS44BT-ZQ,270
statsmodels/robust/__pycache__/__init__.cpython-39.pyc,,
statsmodels/robust/__pycache__/norms.cpython-39.pyc,,
statsmodels/robust/__pycache__/robust_linear_model.cpython-39.pyc,,
statsmodels/robust/__pycache__/scale.cpython-39.pyc,,
statsmodels/robust/_qn.cp39-win_amd64.pyd,sha256=vEaFgfz07EBjkNvnnpXcMz8zuPW9cU6ScFHB_1ApWeo,147456
statsmodels/robust/norms.py,sha256=XUhxPF-eMnbJrxrjyCmnzFrbONTflQ0AyXh1wO4w0oQ,21025
statsmodels/robust/robust_linear_model.py,sha256=P44jCG1-wRJuzKYRnBwzCIXU36nDW4XorbwUGrC1Brs,22972
statsmodels/robust/scale.py,sha256=db0m8AW3wWocbRmVQKs65QkZVd7gRMpDore6aBmKp4w,12862
statsmodels/robust/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/robust/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/robust/tests/__pycache__/test_rlm.cpython-39.pyc,,
statsmodels/robust/tests/__pycache__/test_scale.cpython-39.pyc,,
statsmodels/robust/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/robust/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/robust/tests/results/__pycache__/results_rlm.cpython-39.pyc,,
statsmodels/robust/tests/results/results_rlm.py,sha256=XkRpVB2klCS8SW-iFnFNpj5jR2xKnDnlzFsb5BVeMfQ,19719
statsmodels/robust/tests/test_rlm.py,sha256=vxiCN-wX_hloZB2Mewn2gh06luLR9KbzvCEMI8mwoHQ,12987
statsmodels/robust/tests/test_scale.py,sha256=vZJ14X0-Jv_mgYsABZa1D5nKnmlSRM446qH223dQ6YQ,8962
statsmodels/sandbox/__init__.py,sha256=quuiiq9Zk6yXJhH-S8OeIjl9FLsBCpTij2E8RFxOnts,110
statsmodels/sandbox/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/__pycache__/bspline.cpython-39.pyc,,
statsmodels/sandbox/__pycache__/descstats.cpython-39.pyc,,
statsmodels/sandbox/__pycache__/gam.cpython-39.pyc,,
statsmodels/sandbox/__pycache__/infotheo.cpython-39.pyc,,
statsmodels/sandbox/__pycache__/mle.cpython-39.pyc,,
statsmodels/sandbox/__pycache__/multilinear.cpython-39.pyc,,
statsmodels/sandbox/__pycache__/pca.cpython-39.pyc,,
statsmodels/sandbox/__pycache__/predict_functional.cpython-39.pyc,,
statsmodels/sandbox/__pycache__/rls.cpython-39.pyc,,
statsmodels/sandbox/__pycache__/sysreg.cpython-39.pyc,,
statsmodels/sandbox/archive/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/sandbox/archive/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/archive/__pycache__/linalg_covmat.cpython-39.pyc,,
statsmodels/sandbox/archive/__pycache__/linalg_decomp_1.cpython-39.pyc,,
statsmodels/sandbox/archive/__pycache__/tsa.cpython-39.pyc,,
statsmodels/sandbox/archive/linalg_covmat.py,sha256=ywtyDSPAAhJYil_VNh1RhfA9K2JD7SD16RUvffiZ5hU,8777
statsmodels/sandbox/archive/linalg_decomp_1.py,sha256=r-9GljYUv5CdhP1hzOyIwrtPrigW_PnV3G0ZbB7gJVg,7978
statsmodels/sandbox/archive/tsa.py,sha256=YE1bR9xKDjQqbv7EWkv-n3VsCUwm78W99Tci0VulMCU,1552
statsmodels/sandbox/bspline.py,sha256=8UbyqIkiU-aNfAEy_INTkX0V5OJ959NoOXyiBH95-ck,21117
statsmodels/sandbox/datarich/__init__.py,sha256=MUzOOCEy0LTD0U0niZbgEXF6DyG1S3UwurrE_A24BqE,6521
statsmodels/sandbox/datarich/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/datarich/__pycache__/factormodels.cpython-39.pyc,,
statsmodels/sandbox/datarich/factormodels.py,sha256=VuWJPT_I5vmQYdKgPg1FnaQeN3JxcG7dNKvplf6SP0Q,7049
statsmodels/sandbox/descstats.py,sha256=SAbe814q16FgumB4pz5YukpNHRTdAmneh7bvIhBGapU,6120
statsmodels/sandbox/distributions/__init__.py,sha256=PtH0XIDjfLE06_UUKetf50m4t8z5M9csY-cLzkqlcRY,687
statsmodels/sandbox/distributions/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/distributions/__pycache__/estimators.cpython-39.pyc,,
statsmodels/sandbox/distributions/__pycache__/extras.cpython-39.pyc,,
statsmodels/sandbox/distributions/__pycache__/genpareto.cpython-39.pyc,,
statsmodels/sandbox/distributions/__pycache__/gof_new.cpython-39.pyc,,
statsmodels/sandbox/distributions/__pycache__/multivariate.cpython-39.pyc,,
statsmodels/sandbox/distributions/__pycache__/mv_measures.cpython-39.pyc,,
statsmodels/sandbox/distributions/__pycache__/mv_normal.cpython-39.pyc,,
statsmodels/sandbox/distributions/__pycache__/otherdist.cpython-39.pyc,,
statsmodels/sandbox/distributions/__pycache__/quantize.cpython-39.pyc,,
statsmodels/sandbox/distributions/__pycache__/sppatch.cpython-39.pyc,,
statsmodels/sandbox/distributions/__pycache__/transform_functions.cpython-39.pyc,,
statsmodels/sandbox/distributions/__pycache__/transformed.cpython-39.pyc,,
statsmodels/sandbox/distributions/__pycache__/try_max.cpython-39.pyc,,
statsmodels/sandbox/distributions/__pycache__/try_pot.cpython-39.pyc,,
statsmodels/sandbox/distributions/estimators.py,sha256=Q8lFyEQ5KavuqgLCDbjUmtPXtcsE_LmL60oB71Udyeo,24094
statsmodels/sandbox/distributions/examples/__init__.py,sha256=_6Yl-eMBve0mGQA-aiFg4qvQ7GUCV5eGvIcoRf4mEPw,3
statsmodels/sandbox/distributions/examples/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/distributions/examples/__pycache__/ex_extras.cpython-39.pyc,,
statsmodels/sandbox/distributions/examples/__pycache__/ex_fitfr.cpython-39.pyc,,
statsmodels/sandbox/distributions/examples/__pycache__/ex_gof.cpython-39.pyc,,
statsmodels/sandbox/distributions/examples/__pycache__/ex_mvelliptical.cpython-39.pyc,,
statsmodels/sandbox/distributions/examples/__pycache__/ex_transf2.cpython-39.pyc,,
statsmodels/sandbox/distributions/examples/__pycache__/matchdist.cpython-39.pyc,,
statsmodels/sandbox/distributions/examples/ex_extras.py,sha256=sRFH0SvFyQehccAa7QnfeVeqgeT03rHC5OvAzQS5gwI,4174
statsmodels/sandbox/distributions/examples/ex_fitfr.py,sha256=2_FPfdG2YkmqyC0ojQZq67Sr6bYXMXFFUMCE3Xfmw2o,955
statsmodels/sandbox/distributions/examples/ex_gof.py,sha256=KWzty90AdjBnN8Fbt54b7lBHTUh6_AbhoLUhs9dr3WY,403
statsmodels/sandbox/distributions/examples/ex_mvelliptical.py,sha256=RV77iLP6q7nnAD4MFEiihKV8cYvR3P6Fs44jt6YUO1A,5295
statsmodels/sandbox/distributions/examples/ex_transf2.py,sha256=13u4xnvl4apleq_X885SJ6RwJD5S9oyOHNMJamSMeVw,13805
statsmodels/sandbox/distributions/examples/matchdist.py,sha256=3tE6PknArjOmFI6vYLInAWuZcc-rywA9xrixYcHSLMY,10013
statsmodels/sandbox/distributions/extras.py,sha256=p2GIbUPaHirexsPsyXJapJcOYD0xwy_MIIJLQ2W0alY,39991
statsmodels/sandbox/distributions/genpareto.py,sha256=V0sMzkrzh6glk2OoSzqUz3PFuhJmPwmpBNXT6GpOPoM,10292
statsmodels/sandbox/distributions/gof_new.py,sha256=jqBhnp8ehZM7vm4hcGJxYTm_NaxDtCeuS59dFEn9fIc,22071
statsmodels/sandbox/distributions/multivariate.py,sha256=-1JwOfbkDIsnSgfCiK5qh5MesP6Ox7zu5SIdcWvah4Q,5018
statsmodels/sandbox/distributions/mv_measures.py,sha256=QG9M1UXq1l9VUrvLK_rD_GEUuq39qG99EwuII0BNiVo,6451
statsmodels/sandbox/distributions/mv_normal.py,sha256=i2kZWcGkkOAgJHWN9peFRcDybY59xuocanwGHS4g_4w,39948
statsmodels/sandbox/distributions/otherdist.py,sha256=6VfGEUAQhhNLiMMKm5ZXfIppRn5GjRHFTU-4guqtuxI,10408
statsmodels/sandbox/distributions/quantize.py,sha256=tgg6j9HIlmRZu7IvBR9B-zCbRHJ5OoaAbEf8Xp2-DG8,4366
statsmodels/sandbox/distributions/sppatch.py,sha256=jlrF9GeJA6ZAq_xzarrFC4XUk-H_BN4cb6rtaf3ngtg,24747
statsmodels/sandbox/distributions/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/sandbox/distributions/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/distributions/tests/__pycache__/_est_fit.cpython-39.pyc,,
statsmodels/sandbox/distributions/tests/__pycache__/check_moments.cpython-39.pyc,,
statsmodels/sandbox/distributions/tests/__pycache__/distparams.cpython-39.pyc,,
statsmodels/sandbox/distributions/tests/__pycache__/test_extras.cpython-39.pyc,,
statsmodels/sandbox/distributions/tests/__pycache__/test_gof_new.cpython-39.pyc,,
statsmodels/sandbox/distributions/tests/__pycache__/test_multivariate.cpython-39.pyc,,
statsmodels/sandbox/distributions/tests/__pycache__/test_norm_expan.cpython-39.pyc,,
statsmodels/sandbox/distributions/tests/__pycache__/test_transf.cpython-39.pyc,,
statsmodels/sandbox/distributions/tests/_est_fit.py,sha256=OOuSdTBEXBni8FV_3VkYtllq6pHxap5x5XJZWrnGLSc,2628
statsmodels/sandbox/distributions/tests/check_moments.py,sha256=C8JcTIK_o00x2Z9gDAr85zFKzby498H1ijCfgEicv_E,5547
statsmodels/sandbox/distributions/tests/distparams.py,sha256=EgVwg61dt7EjOdT10Ziqqry4W_TNdI1FJrHT-0562x8,5251
statsmodels/sandbox/distributions/tests/test_extras.py,sha256=Hu5mJtSSMihzmHBlLbC3ysvy5R3ws2oDZdPoiIeDfoE,4884
statsmodels/sandbox/distributions/tests/test_gof_new.py,sha256=3YFVxz-1c56dtUupt7_ojeJ5FZUmT9ytEP6jfXqJj6I,989
statsmodels/sandbox/distributions/tests/test_multivariate.py,sha256=qzOW-7nXbKoTa1xQDr22lMVA6t1pqc9SErVV78o4vCo,6550
statsmodels/sandbox/distributions/tests/test_norm_expan.py,sha256=8qkhXrPasbdjQHvTuZ0ehWbU_az3rxpJS0ib-lFyTR4,2902
statsmodels/sandbox/distributions/tests/test_transf.py,sha256=KKwii1JzOXM6wxZtR5j2Ft5FQucYS_SQ78JesdwUbL0,6709
statsmodels/sandbox/distributions/transform_functions.py,sha256=bOSrrfCq9w3abPWgsL31ls2GQAw3khMzXPXE8T0CimM,3843
statsmodels/sandbox/distributions/transformed.py,sha256=kBh7xozWWN5AjsUH4edCYPndtiuldk4ww6-yGwD-Y9Y,16708
statsmodels/sandbox/distributions/try_max.py,sha256=e04OY5f3ZaVWvu8oI3J4iB0OFGPpgRHOQ-X47ESpOOg,2450
statsmodels/sandbox/distributions/try_pot.py,sha256=eKXUEQDflIcz6UXOIf9sDaRXeT5rClzVH38e3gNdy6Y,2010
statsmodels/sandbox/gam.py,sha256=NP_jbMmVxbggb8vYnl07wj2hcl5aO9_gMRjL_KvEAIQ,15816
statsmodels/sandbox/infotheo.py,sha256=Xzf1sNi9r4JA1smDBwRFHoYjb_Xe81MTWwxUVhm8aVg,17060
statsmodels/sandbox/mcevaluate/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/sandbox/mcevaluate/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/mcevaluate/__pycache__/arma.cpython-39.pyc,,
statsmodels/sandbox/mcevaluate/arma.py,sha256=HXfi78KXa68q7m0X4Kb8Zlkcf_G7ws542icqd7ar-M4,4703
statsmodels/sandbox/mle.py,sha256=GT_rHE5K3SAst4HpdjmPKgZX1nFUBDUAu-vX4g8m5fY,1721
statsmodels/sandbox/multilinear.py,sha256=3Pw163mT76P8FRy1DF3L91sQqzFVsH0sFkeB82h7cCM,14213
statsmodels/sandbox/nonparametric/__init__.py,sha256=lVL4VPz3c4kWCgjPtL4uuQLNmgwK92q1ffAsv5El02k,25
statsmodels/sandbox/nonparametric/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/nonparametric/__pycache__/densityorthopoly.cpython-39.pyc,,
statsmodels/sandbox/nonparametric/__pycache__/dgp_examples.cpython-39.pyc,,
statsmodels/sandbox/nonparametric/__pycache__/kde2.cpython-39.pyc,,
statsmodels/sandbox/nonparametric/__pycache__/kdecovclass.cpython-39.pyc,,
statsmodels/sandbox/nonparametric/__pycache__/kernel_extras.cpython-39.pyc,,
statsmodels/sandbox/nonparametric/__pycache__/kernels.cpython-39.pyc,,
statsmodels/sandbox/nonparametric/__pycache__/smoothers.cpython-39.pyc,,
statsmodels/sandbox/nonparametric/__pycache__/testdata.cpython-39.pyc,,
statsmodels/sandbox/nonparametric/densityorthopoly.py,sha256=GEhfzK9m6JFpPlNhR7OOWOQj0NC9uDsPWjNN20wlyMw,18247
statsmodels/sandbox/nonparametric/dgp_examples.py,sha256=UW2uOt4LwnOTUkpQHaUU9jHcwpsHiy1MJL-Xzg7GokM,6205
statsmodels/sandbox/nonparametric/kde2.py,sha256=7OHtZc4hpWU1frERUWQzoO-wALD-R7WlB0pbjz8spk8,3315
statsmodels/sandbox/nonparametric/kdecovclass.py,sha256=oAm115br1rt_baaKGWjQ6Q0De4nRtMsT7MKZxr9xw2I,5833
statsmodels/sandbox/nonparametric/kernel_extras.py,sha256=oESedYdTxPCqia8e4XZAp-KS9BkzMiVrKHJJ1imGJqs,14685
statsmodels/sandbox/nonparametric/kernels.py,sha256=mQtbZLYpDXiQl1uuvaFkeX0lfO0tuHqtdInaKP6A_8k,20370
statsmodels/sandbox/nonparametric/smoothers.py,sha256=v6MvRBM1kpU8RcBMqFWEgjCs0r0xTkNQdkuFvZ8uAQg,12697
statsmodels/sandbox/nonparametric/testdata.py,sha256=HRYTK9LtzBeexQBSb_CVF7_8PTdpDcP6ctG7o5BIkFg,3598
statsmodels/sandbox/nonparametric/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/sandbox/nonparametric/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/nonparametric/tests/__pycache__/ex_gam_am_new.cpython-39.pyc,,
statsmodels/sandbox/nonparametric/tests/__pycache__/ex_gam_new.cpython-39.pyc,,
statsmodels/sandbox/nonparametric/tests/__pycache__/ex_smoothers.cpython-39.pyc,,
statsmodels/sandbox/nonparametric/tests/__pycache__/test_kernel_extras.cpython-39.pyc,,
statsmodels/sandbox/nonparametric/tests/__pycache__/test_smoothers.cpython-39.pyc,,
statsmodels/sandbox/nonparametric/tests/ex_gam_am_new.py,sha256=j499Qx6tI-SaAgq7MfZ3TWdlAJQcFS-bTB2oZk_mgAw,2425
statsmodels/sandbox/nonparametric/tests/ex_gam_new.py,sha256=a6H8ypA78MvIfWDw1A8_ZQ100UCtGMFFZQnZPPXobkk,3796
statsmodels/sandbox/nonparametric/tests/ex_smoothers.py,sha256=H_qNl0NAliytbN_C_6fftS57UzlFuBkUbYozr7Krtv4,1368
statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py,sha256=ZEL5GKwi_-uKbxXdN8jS0YVbHTvMGHXyLhfHz6GLFng,3539
statsmodels/sandbox/nonparametric/tests/test_smoothers.py,sha256=SiJvzIWCrjJb6JWSnWoFIJUj5hK0epWg7PkZEjmvVLI,3181
statsmodels/sandbox/panel/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/sandbox/panel/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/panel/__pycache__/correlation_structures.cpython-39.pyc,,
statsmodels/sandbox/panel/__pycache__/mixed.cpython-39.pyc,,
statsmodels/sandbox/panel/__pycache__/panel_short.cpython-39.pyc,,
statsmodels/sandbox/panel/__pycache__/panelmod.cpython-39.pyc,,
statsmodels/sandbox/panel/__pycache__/random_panel.cpython-39.pyc,,
statsmodels/sandbox/panel/__pycache__/sandwich_covariance_generic.cpython-39.pyc,,
statsmodels/sandbox/panel/correlation_structures.py,sha256=xC_WElGg9y7zbx6_elsGljPbYddlTs90zDvewK3_Ups,5341
statsmodels/sandbox/panel/mixed.py,sha256=JSDoJjCs0C-q23EgyQooyjEFnpzDWsqFEPNnTrBs_DE,21564
statsmodels/sandbox/panel/panel_short.py,sha256=F2SbLCg8CiX7NeDBHK54lz6ysCFTj4JbFc8gCB0m4Xc,8335
statsmodels/sandbox/panel/panelmod.py,sha256=dAIXJa8TVuhASPC61Q37cBoAj1KVNmjk1k2DG1HsnDQ,15012
statsmodels/sandbox/panel/random_panel.py,sha256=llXigtVS2PEhgZJ6sJhauvaia5o9i7l1cSchm0m08q4,5097
statsmodels/sandbox/panel/sandwich_covariance_generic.py,sha256=ohzNIeKaDPGIE8ZZCaCoq31tuCk1YTycH47iza3N92k,3912
statsmodels/sandbox/panel/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/sandbox/panel/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/panel/tests/__pycache__/test_random_panel.cpython-39.pyc,,
statsmodels/sandbox/panel/tests/test_random_panel.py,sha256=TPIKXEUUsRp8PuCwJp9deXPFmtDL3WDLVJCLazBMyN4,5583
statsmodels/sandbox/pca.py,sha256=dmlvJX8opy16Ey3CRDJbEqLnTn31VbdbWI3y6K_SOSg,7268
statsmodels/sandbox/predict_functional.py,sha256=lJ-RfDaJGFX-YfYQGkszjlUY91yUW-f2gpXtuKIxuBc,16286
statsmodels/sandbox/regression/__init__.py,sha256=1Ax6rNgLSmlBjWwlIlQc1Kb6dgzxtE16d6uPNNthZjs,105
statsmodels/sandbox/regression/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/regression/__pycache__/anova_nistcertified.cpython-39.pyc,,
statsmodels/sandbox/regression/__pycache__/ar_panel.cpython-39.pyc,,
statsmodels/sandbox/regression/__pycache__/example_kernridge.cpython-39.pyc,,
statsmodels/sandbox/regression/__pycache__/gmm.cpython-39.pyc,,
statsmodels/sandbox/regression/__pycache__/kernridgeregress_class.cpython-39.pyc,,
statsmodels/sandbox/regression/__pycache__/ols_anova_original.cpython-39.pyc,,
statsmodels/sandbox/regression/__pycache__/onewaygls.cpython-39.pyc,,
statsmodels/sandbox/regression/__pycache__/penalized.cpython-39.pyc,,
statsmodels/sandbox/regression/__pycache__/predstd.cpython-39.pyc,,
statsmodels/sandbox/regression/__pycache__/runmnl.cpython-39.pyc,,
statsmodels/sandbox/regression/__pycache__/sympy_diff.cpython-39.pyc,,
statsmodels/sandbox/regression/__pycache__/tools.cpython-39.pyc,,
statsmodels/sandbox/regression/__pycache__/treewalkerclass.cpython-39.pyc,,
statsmodels/sandbox/regression/__pycache__/try_catdata.cpython-39.pyc,,
statsmodels/sandbox/regression/__pycache__/try_ols_anova.cpython-39.pyc,,
statsmodels/sandbox/regression/__pycache__/try_treewalker.cpython-39.pyc,,
statsmodels/sandbox/regression/anova_nistcertified.py,sha256=T8hMo9FMygv8l634reXpcg3fugjVF6GFrzl6rOzypic,4109
statsmodels/sandbox/regression/ar_panel.py,sha256=X9sr_rKjxVxlwGvucZks6H15ao_r0GnCsWfql_amMKI,3664
statsmodels/sandbox/regression/example_kernridge.py,sha256=-9kPQZxMggg6ewfWjqD0CQnHImXvfVMb8cEOhiV38r4,1266
statsmodels/sandbox/regression/gmm.py,sha256=MIfG8Y__ToxBZ73afhcgjX8eUZYJF590L6Y0OjXUqKk,63882
statsmodels/sandbox/regression/kernridgeregress_class.py,sha256=IeFeWOzYyzPOhBsI6cziLmcf8kQb3gSIDqrJIB3-aXE,7933
statsmodels/sandbox/regression/ols_anova_original.py,sha256=xyGYPeqOHJVHhk4G0TSLMdvyAn7vD334CEhV1uLR1tU,11109
statsmodels/sandbox/regression/onewaygls.py,sha256=DrFJsNwbFHEUP-UUH-B27sgi4VR0fisgFarp0B82K6Y,15513
statsmodels/sandbox/regression/penalized.py,sha256=AwZXCT3GLVom4JQpnZGBLPiimWK4YQhx7d9erWOPDQc,17827
statsmodels/sandbox/regression/predstd.py,sha256=uSuyJuca9sYaqkjJuEs-ZK3UlZReR8ei64ZjjL_6PCY,3102
statsmodels/sandbox/regression/runmnl.py,sha256=GnMn6QiTzydIjjj6BDjMMlKC2abkZinshBNRFYzcIGw,12353
statsmodels/sandbox/regression/sympy_diff.py,sha256=iuDJNfKXroVzlGGuhd--TkoJJdGrQHYKyBfh0qH8k3M,1803
statsmodels/sandbox/regression/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/sandbox/regression/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/regression/tests/__pycache__/results_gmm_griliches.cpython-39.pyc,,
statsmodels/sandbox/regression/tests/__pycache__/results_gmm_griliches_iter.cpython-39.pyc,,
statsmodels/sandbox/regression/tests/__pycache__/results_gmm_poisson.cpython-39.pyc,,
statsmodels/sandbox/regression/tests/__pycache__/results_ivreg2_griliches.cpython-39.pyc,,
statsmodels/sandbox/regression/tests/__pycache__/test_gmm.cpython-39.pyc,,
statsmodels/sandbox/regression/tests/__pycache__/test_gmm_poisson.cpython-39.pyc,,
statsmodels/sandbox/regression/tests/griliches76.dta,sha256=qixgQlaOXPQoEyj2zwbBL63XjTdI8fO1sJ3siF7DvwI,64736
statsmodels/sandbox/regression/tests/racd10data_with_transformed.csv,sha256=M_nDyru9SG1DTxVEZ3j8XVCIcCJ0xclQSvgWDp8JrKs,324886
statsmodels/sandbox/regression/tests/results_gmm_griliches.py,sha256=fn2CDsMwPYI0O8cYroEcczYe3c8wYQM7whKVE_7WPh0,14587
statsmodels/sandbox/regression/tests/results_gmm_griliches_iter.py,sha256=12Ju86odiUcWyaWUjxnFd41F11ONVM98GKaSVlJ4mJY,7278
statsmodels/sandbox/regression/tests/results_gmm_poisson.py,sha256=Xe-BB1gN2KDC9ebtwu5ok60x-oJwe1ZPTOGyEkSM3IY,25900
statsmodels/sandbox/regression/tests/results_ivreg2_griliches.py,sha256=TKtCJSvLvJzXVDE21FlSLSeewLVwmZkffEZbMJS-Hi0,37473
statsmodels/sandbox/regression/tests/test_gmm.py,sha256=72lNeWVgpyihYhSN5B1hqTSFuaG2_zGjKzjlXqwuMRA,32503
statsmodels/sandbox/regression/tests/test_gmm_poisson.py,sha256=NfTr3EC7TQaL4OUKq0uc2yLHs5LuHvcj5smOwNKWlms,13720
statsmodels/sandbox/regression/tools.py,sha256=qG2o7j0u0us7VOyGxkTMOhYaowlgdtPjMw9SYtfuhso,13187
statsmodels/sandbox/regression/treewalkerclass.py,sha256=hGgrVOEYKVkIOuGOgPMAwoK2ByrvnA8Xg_9nBk8TV2M,21970
statsmodels/sandbox/regression/try_catdata.py,sha256=ugnO0k7VwhthCsPhwST0T5eGzb9WgbKcsYL32XtrTRs,4830
statsmodels/sandbox/regression/try_ols_anova.py,sha256=KMoVwJpykmAQMsAtFVyGntmnJ2PzDmEopFggjLvtAW4,9498
statsmodels/sandbox/regression/try_treewalker.py,sha256=sTSmno9-Dz99zXoEjEp0npQi2PMaiRh5Lpw5BbYzqRk,4521
statsmodels/sandbox/rls.py,sha256=lqN2Gy1oW8g7eyMpBevWGBkBqGteNkY4b939KgwxJx0,5286
statsmodels/sandbox/stats/__init__.py,sha256=PtH0XIDjfLE06_UUKetf50m4t8z5M9csY-cLzkqlcRY,687
statsmodels/sandbox/stats/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/stats/__pycache__/contrast_tools.cpython-39.pyc,,
statsmodels/sandbox/stats/__pycache__/diagnostic.cpython-39.pyc,,
statsmodels/sandbox/stats/__pycache__/ex_newtests.cpython-39.pyc,,
statsmodels/sandbox/stats/__pycache__/multicomp.cpython-39.pyc,,
statsmodels/sandbox/stats/__pycache__/runs.cpython-39.pyc,,
statsmodels/sandbox/stats/__pycache__/stats_dhuard.cpython-39.pyc,,
statsmodels/sandbox/stats/__pycache__/stats_mstats_short.cpython-39.pyc,,
statsmodels/sandbox/stats/contrast_tools.py,sha256=V3j8fiC6yq-MpFDkAUaZT1sxYuJGNnq9pQmy6d0HGOU,29749
statsmodels/sandbox/stats/diagnostic.py,sha256=_EWlm77jMqnzZu-fA1X1FnP0z1OzaXw827Iizkdt5Os,1055
statsmodels/sandbox/stats/ex_newtests.py,sha256=MfoDJ0mJNoLepNAbOb5P4WkcnYOCD39zA6zQ0n9of6c,848
statsmodels/sandbox/stats/multicomp.py,sha256=TXAIc1T86qSa8vHnjxSqfdVeRHYtkuY9We6eEWUBwuM,71100
statsmodels/sandbox/stats/runs.py,sha256=BcSrcKKaQmiDIuKyYa_v4dYDRqKFDTpkuh2BEGJu8Mw,20998
statsmodels/sandbox/stats/stats_dhuard.py,sha256=O1APzrvGOrd3XMpSlw3URkvaEwPOiq-QGMXfBrGcfEM,10429
statsmodels/sandbox/stats/stats_mstats_short.py,sha256=MPKphT52JczVkC0-w-mFMSgWDMOchVs5-0oYCWbt7cc,15251
statsmodels/sandbox/stats/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/sandbox/stats/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/stats/tests/__pycache__/test_multicomp.cpython-39.pyc,,
statsmodels/sandbox/stats/tests/__pycache__/test_runs.cpython-39.pyc,,
statsmodels/sandbox/stats/tests/test_multicomp.py,sha256=6hDOuH5zv8LLJeh-LSPvD00L222Lxv3s2A3FcRP00K4,452
statsmodels/sandbox/stats/tests/test_runs.py,sha256=UoZlr4koEuvk3uJvIFlRurQauc9RmOURatw2bb4bsSY,932
statsmodels/sandbox/sysreg.py,sha256=91iTvXkSPuMMqlrMoeqAWaOAMjozp9gcNu9D4wkmOYA,15011
statsmodels/sandbox/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/sandbox/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/tests/__pycache__/maketests_mlabwrap.cpython-39.pyc,,
statsmodels/sandbox/tests/__pycache__/savervs.cpython-39.pyc,,
statsmodels/sandbox/tests/__pycache__/test_gam.cpython-39.pyc,,
statsmodels/sandbox/tests/__pycache__/test_pca.cpython-39.pyc,,
statsmodels/sandbox/tests/__pycache__/test_predict_functional.cpython-39.pyc,,
statsmodels/sandbox/tests/maketests_mlabwrap.py,sha256=HgSAl2IBPSsW-IXCgiW_I-mlLUgDA4x62YWsV2nOIps,9255
statsmodels/sandbox/tests/savervs.py,sha256=aKnAuD3fNwB0N5PzX6eysnKC9ZGdY-H-C4mGp8LpMLU,1200
statsmodels/sandbox/tests/test_gam.py,sha256=O8TVICa6QtFqzNNwpvzF8ffhOOz6M1kyWFCzB69TVrs,11507
statsmodels/sandbox/tests/test_pca.py,sha256=5rzF1gdSbv_-uEv0dmMJbYMr-hiHn49PoN_KeBboYOw,2550
statsmodels/sandbox/tests/test_predict_functional.py,sha256=o4J4Tw0zkGEl7uRc6RQJ69OwY05NFXYQ7TZEm1JeCN0,13118
statsmodels/sandbox/tools/__init__.py,sha256=G08XS6cx2stf_yy0yMyxWylgnvTUCGxEmr3ZHV-8RmI,225
statsmodels/sandbox/tools/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/tools/__pycache__/cross_val.cpython-39.pyc,,
statsmodels/sandbox/tools/__pycache__/mctools.cpython-39.pyc,,
statsmodels/sandbox/tools/__pycache__/tools_pca.cpython-39.pyc,,
statsmodels/sandbox/tools/__pycache__/try_mctools.cpython-39.pyc,,
statsmodels/sandbox/tools/cross_val.py,sha256=J6ra7HU07i17iIPgrgTmoQ0ggqAYPLGPOkPTaiacAh8,12210
statsmodels/sandbox/tools/mctools.py,sha256=itjkH_sLIPvYmQkOtzpy_OjmbWDRHokn8RG4R5LzkP0,17410
statsmodels/sandbox/tools/tools_pca.py,sha256=cydkS2AA-zUsZ6DerzgbAxCxz4Q1o3ZTsWtQ3fxLoBw,4277
statsmodels/sandbox/tools/try_mctools.py,sha256=jRrkcp20aCuNGMzlNc-LC_XllIIIrUPASO3J6iko-ak,2012
statsmodels/sandbox/tsa/__init__.py,sha256=rzo7Pr_p_RdU6pVST-NetsK8lv7Kg449cn4fcaHEPSg,892
statsmodels/sandbox/tsa/__pycache__/__init__.cpython-39.pyc,,
statsmodels/sandbox/tsa/__pycache__/diffusion.cpython-39.pyc,,
statsmodels/sandbox/tsa/__pycache__/diffusion2.cpython-39.pyc,,
statsmodels/sandbox/tsa/__pycache__/example_arma.cpython-39.pyc,,
statsmodels/sandbox/tsa/__pycache__/fftarma.cpython-39.pyc,,
statsmodels/sandbox/tsa/__pycache__/movstat.cpython-39.pyc,,
statsmodels/sandbox/tsa/__pycache__/try_arma_more.cpython-39.pyc,,
statsmodels/sandbox/tsa/__pycache__/try_fi.cpython-39.pyc,,
statsmodels/sandbox/tsa/__pycache__/try_var_convolve.cpython-39.pyc,,
statsmodels/sandbox/tsa/__pycache__/varma.cpython-39.pyc,,
statsmodels/sandbox/tsa/diffusion.py,sha256=yAshRnj7bGpakiVarAuM73L32agLfhZ-lwS1B5Hn7fI,19342
statsmodels/sandbox/tsa/diffusion2.py,sha256=p-QlbmXOa7Fw0POdQUHPozq3b2S8WpPOj9GvMKzFX6w,13873
statsmodels/sandbox/tsa/example_arma.py,sha256=De_OG7Ri558eBP-wW1sI3QyailSNUeUh6cmqSER06t4,11892
statsmodels/sandbox/tsa/fftarma.py,sha256=VbNR7EWFrWjEs2FhUEr8IHuUU3Wi5ZseeYPLmkdc6pQ,16843
statsmodels/sandbox/tsa/movstat.py,sha256=pVCKrEzeXdj6uyY271YnLjhjbHgm4ylfNBTxTOoXtOE,15222
statsmodels/sandbox/tsa/try_arma_more.py,sha256=4dz7Se0kAdjKU402qvxk_EC_evsgshjGil9Mo-4kHb8,2941
statsmodels/sandbox/tsa/try_fi.py,sha256=NHo7mOgfIFF5aV-yhpZMPLEymTUB8QcT1KoyiSg5FL8,2616
statsmodels/sandbox/tsa/try_var_convolve.py,sha256=6PW2aCdtIaYflrveM3x9GRcCrKXmLebVJyqNA8zEFME,9481
statsmodels/sandbox/tsa/varma.py,sha256=wbNc3evZku3cO46n7tmamTRQdokDeoZpTF9gG4jJR7c,5066
statsmodels/setup.cfg,sha256=wexkMPZCz4oemqkrCM-rLZWDaFFdjcLUxrHI7zfTBqQ,11017
statsmodels/src/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/src/__pycache__/__init__.cpython-39.pyc,,
statsmodels/stats/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/stats/__pycache__/__init__.cpython-39.pyc,,
statsmodels/stats/__pycache__/_adnorm.cpython-39.pyc,,
statsmodels/stats/__pycache__/_diagnostic_other.cpython-39.pyc,,
statsmodels/stats/__pycache__/_knockoff.cpython-39.pyc,,
statsmodels/stats/__pycache__/_lilliefors.cpython-39.pyc,,
statsmodels/stats/__pycache__/_lilliefors_critical_values.cpython-39.pyc,,
statsmodels/stats/__pycache__/anova.cpython-39.pyc,,
statsmodels/stats/__pycache__/api.cpython-39.pyc,,
statsmodels/stats/__pycache__/base.cpython-39.pyc,,
statsmodels/stats/__pycache__/contingency_tables.cpython-39.pyc,,
statsmodels/stats/__pycache__/contrast.cpython-39.pyc,,
statsmodels/stats/__pycache__/correlation_tools.cpython-39.pyc,,
statsmodels/stats/__pycache__/descriptivestats.cpython-39.pyc,,
statsmodels/stats/__pycache__/diagnostic.cpython-39.pyc,,
statsmodels/stats/__pycache__/diagnostic_gen.cpython-39.pyc,,
statsmodels/stats/__pycache__/dist_dependence_measures.cpython-39.pyc,,
statsmodels/stats/__pycache__/effect_size.cpython-39.pyc,,
statsmodels/stats/__pycache__/gof.cpython-39.pyc,,
statsmodels/stats/__pycache__/inter_rater.cpython-39.pyc,,
statsmodels/stats/__pycache__/knockoff_regeffects.cpython-39.pyc,,
statsmodels/stats/__pycache__/mediation.cpython-39.pyc,,
statsmodels/stats/__pycache__/meta_analysis.cpython-39.pyc,,
statsmodels/stats/__pycache__/moment_helpers.cpython-39.pyc,,
statsmodels/stats/__pycache__/multicomp.cpython-39.pyc,,
statsmodels/stats/__pycache__/multitest.cpython-39.pyc,,
statsmodels/stats/__pycache__/multivariate.cpython-39.pyc,,
statsmodels/stats/__pycache__/multivariate_tools.cpython-39.pyc,,
statsmodels/stats/__pycache__/nonparametric.cpython-39.pyc,,
statsmodels/stats/__pycache__/oaxaca.cpython-39.pyc,,
statsmodels/stats/__pycache__/oneway.cpython-39.pyc,,
statsmodels/stats/__pycache__/outliers_influence.cpython-39.pyc,,
statsmodels/stats/__pycache__/power.cpython-39.pyc,,
statsmodels/stats/__pycache__/proportion.cpython-39.pyc,,
statsmodels/stats/__pycache__/rates.cpython-39.pyc,,
statsmodels/stats/__pycache__/regularized_covariance.cpython-39.pyc,,
statsmodels/stats/__pycache__/robust_compare.cpython-39.pyc,,
statsmodels/stats/__pycache__/sandwich_covariance.cpython-39.pyc,,
statsmodels/stats/__pycache__/stattools.cpython-39.pyc,,
statsmodels/stats/__pycache__/tabledist.cpython-39.pyc,,
statsmodels/stats/__pycache__/weightstats.cpython-39.pyc,,
statsmodels/stats/_adnorm.py,sha256=qtRqSSo6XFXbcpRub_zmRH8S7k_pBpQ0QsGlrU8poaw,4442
statsmodels/stats/_diagnostic_other.py,sha256=thZ_nmVMssBf8uVVKtwb-b1AujO5_v_MzoUONxhJU70,43921
statsmodels/stats/_knockoff.py,sha256=w3jTRc3rYEqYV_yUw-rU813PDvu5JLu4t6R7qIz1G7c,7637
statsmodels/stats/_lilliefors.py,sha256=cOcHkq_X_lDz_qUiT7OomuNW7QrPENq-bf48XqLgmRc,10174
statsmodels/stats/_lilliefors_critical_values.py,sha256=r9Aj7B4iuK2rdPEyMW9bliwYPPWGOHQu2A81e-Xq6P4,14300
statsmodels/stats/anova.py,sha256=5CYjoJPoEpi1sQkI3nDIbAhirggXS443UjFDSXIhCkQ,23625
statsmodels/stats/api.py,sha256=KDeMqlIVtgvDFlDz71HERNw4obTBUsfTcUeAd4UL9LA,7247
statsmodels/stats/base.py,sha256=XkivRpkbzd-wyRrqEh4900YrO_IwMlyGdK3JOPeziJQ,4257
statsmodels/stats/contingency_tables.py,sha256=hGDpULudrPhPh3ZgH5mTKXBoZn2DrbUDLXa96n3EnO8,45539
statsmodels/stats/contrast.py,sha256=iHa2l0hVFLFTXYhfF4TS99N40RCDBag4vwOYNJ96Vyw,28410
statsmodels/stats/correlation_tools.py,sha256=pNsLngYtqwbS5XeynrXNrQqVv870-1bpEMJSX52vJy4,33334
statsmodels/stats/descriptivestats.py,sha256=pbxLlbxyvQ5eq_v4zNNW2QgmOVYjFSid2U7baD03MSI,32086
statsmodels/stats/diagnostic.py,sha256=_oUU4MyeLsSHRgefE530BgUV5Ku_Es9TL6UOxA4r3Gw,62603
statsmodels/stats/diagnostic_gen.py,sha256=pkpuIKaloWAjw9N47T5xI0k_kuv3BfTL-bcTABdQRvE,8438
statsmodels/stats/dist_dependence_measures.py,sha256=iZIDXfZSsooxwaigNgpT4pOxLGVEDyihfvNuP91muVA,18192
statsmodels/stats/effect_size.py,sha256=XrhVre11nQ7URzgASAX_qDASmY0MQcDcyndfj-S3gfM,5105
statsmodels/stats/gof.py,sha256=8Y1lfvDcK2GP9pppLgzlUxElZZ0WfWF7mlGpC_PBF58,17094
statsmodels/stats/inter_rater.py,sha256=akPSldF8GFqwEJ1P7N1q7aGl1HLFs_b9YgTjFMlK49A,19284
statsmodels/stats/knockoff_regeffects.py,sha256=mZq2EZKf8aRjhaybUQyawYRRHZOhV-57UpYHI-vXlFo,5511
statsmodels/stats/libqsturng/CH.r,sha256=ExtUG2mRQXuQqfdiwdu81EuabZeRvfKv648Stdr6DDw,2530
statsmodels/stats/libqsturng/LICENSE.txt,sha256=lzyD3g6B6fai1LwWsxADKxjKy-e_KxYhlAaclLFcwM0,1595
statsmodels/stats/libqsturng/__init__.py,sha256=mkgQgATuHy7UYQ2CmIzFqRt-1u1iDYVV1MxmDYejXQw,200
statsmodels/stats/libqsturng/__pycache__/__init__.cpython-39.pyc,,
statsmodels/stats/libqsturng/__pycache__/make_tbls.cpython-39.pyc,,
statsmodels/stats/libqsturng/__pycache__/qsturng_.cpython-39.pyc,,
statsmodels/stats/libqsturng/make_tbls.py,sha256=Q_UKgl8tK6iIUqpu77hyBiBY63COfcTwcO7bReFSDeo,64083
statsmodels/stats/libqsturng/qsturng_.py,sha256=amifbNrgmj6XrzwSqmkOQq1DDi4Xl2SPMlxhST5xwKs,54159
statsmodels/stats/libqsturng/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/stats/libqsturng/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/stats/libqsturng/tests/__pycache__/test_qsturng.cpython-39.pyc,,
statsmodels/stats/libqsturng/tests/bootleg.dat,sha256=90ITItfE--Q33SUPMCtCBj1MUmZ1NvuZh7z1mzfwOag,292257
statsmodels/stats/libqsturng/tests/test_qsturng.py,sha256=HgfZkIXvkaBp-jN0pRwsBhNqViUAZTcQYZHuZvX5mzs,9144
statsmodels/stats/mediation.py,sha256=7VVRRoF6RCN4XMPSdtEtecEpp2ylLrQ1L4LaBsOWA2A,16811
statsmodels/stats/meta_analysis.py,sha256=8_6nnUMWOFe-Fq09o2w3oM4Fy_-Kq3dRGW6z5BcJXzM,27344
statsmodels/stats/moment_helpers.py,sha256=3dHKft2_OlpimwYc-ofrLOTCO4meIl-OOTgRonEV62A,8949
statsmodels/stats/multicomp.py,sha256=5svDtA46Yxn2GpUt1pJPudySLjUPpX28_pflm9xeO6Q,1091
statsmodels/stats/multitest.py,sha256=Auwf6C1W2iS93A-sYDq-QTfn4Xvt51n4A-lqiDJpgw0,25874
statsmodels/stats/multivariate.py,sha256=XrJCILI0kDJbc5Gs8w-fMft-xjDpdZtxLoFgCaaFbr4,19845
statsmodels/stats/multivariate_tools.py,sha256=KTVoactUdUusKPjvu_GMKIFwPQRxnzXsm_enYBPcudA,7420
statsmodels/stats/nonparametric.py,sha256=4QB1eXxgsHXOY-WU-ikVjwtVuj7fAPwcHv9VSo-Xuqs,24003
statsmodels/stats/oaxaca.py,sha256=1hwQOvuCxHWK0uy2XddvsqcntDEPrIPyJnSGM3Qn4SQ,21874
statsmodels/stats/oneway.py,sha256=Tgy-EdFel2PLSCc6Aw32Cadp8NOsrTghCb7uf7U7k28,46932
statsmodels/stats/outliers_influence.py,sha256=oCipUR72p7zR2okmQoEEkp_0906P-wwTYk_vZEnEKcI,51003
statsmodels/stats/power.py,sha256=38cWLVs9Ut7SrG6NG-2C-mLHj8EGjuRjPfDd_fSu1H8,53550
statsmodels/stats/proportion.py,sha256=lzoE3hypRlCHy-Jc1M8qJMnZ61A4ZhNGoLZlThrfe1Q,81623
statsmodels/stats/rates.py,sha256=pKQEK2YVmWG05rG1FgixfRYS9osWRPeHkxm0VjcOaCs,12349
statsmodels/stats/regularized_covariance.py,sha256=nCVwTtDKDLQqpqQvOjEjre-Z6_ikbmJRzHIzxLbZuXU,4982
statsmodels/stats/robust_compare.py,sha256=rcXru6HXy53A-mIuel7heL-xM4iAs6eqVGbipea3-o8,9576
statsmodels/stats/sandwich_covariance.py,sha256=zRDoQw2F3x3ywaQrr0PKxnkItkffQtwXFqbSOhgwg6s,28797
statsmodels/stats/stattools.py,sha256=cKJZ2mxnAWz6O9U8fTjW-tcyFz2wMxTakzCg2opi80o,14682
statsmodels/stats/tabledist.py,sha256=bMPmVnmM960z-JkaqrLxROX3Vk6AXyrKHHfdDePMdes,10038
statsmodels/stats/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/stats/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_anova.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_anova_rm.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_base.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_contingency_tables.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_contrast.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_correlation.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_corrpsd.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_descriptivestats.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_diagnostic.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_diagnostic_other.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_dist_dependant_measures.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_effectsize.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_gof.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_groups_sw.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_influence.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_inter_rater.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_knockoff.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_lilliefors.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_mediation.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_meta.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_moment_helpers.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_multi.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_multivariate.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_nonparametric.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_oaxaca.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_oneway.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_outliers_influence.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_pairwise.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_panel_robustcov.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_power.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_proportion.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_qsturng.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_rates_poisson.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_regularized_covariance.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_robust_compare.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_sandwich.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_statstools.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_tabledist.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_tost.cpython-39.pyc,,
statsmodels/stats/tests/__pycache__/test_weightstats.cpython-39.pyc,,
statsmodels/stats/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/stats/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/stats/tests/results/__pycache__/lilliefors_critical_value_simulation.cpython-39.pyc,,
statsmodels/stats/tests/results/__pycache__/results_meta.cpython-39.pyc,,
statsmodels/stats/tests/results/__pycache__/results_multinomial_proportions.cpython-39.pyc,,
statsmodels/stats/tests/results/__pycache__/results_panelrobust.cpython-39.pyc,,
statsmodels/stats/tests/results/__pycache__/results_power.cpython-39.pyc,,
statsmodels/stats/tests/results/__pycache__/results_proportion.cpython-39.pyc,,
statsmodels/stats/tests/results/__pycache__/results_rates.cpython-39.pyc,,
statsmodels/stats/tests/results/binary_constrict.csv,sha256=8Ze25lby3H24-DjSV-Kpu2GrM1LfLng4L_9QprW6JxY,2767
statsmodels/stats/tests/results/bootleg.csv,sha256=90ITItfE--Q33SUPMCtCBj1MUmZ1NvuZh7z1mzfwOag,292257
statsmodels/stats/tests/results/contingency_table_r_results.csv,sha256=MgEWH0ST7EPCoL0ZYvM_aW8CEUiMxUC3-FL-jlRZaBg,865
statsmodels/stats/tests/results/data.dat,sha256=oiPnaUFYjxoQRDkbqgbrrWLEGXDs-Pw_80Gbv27niqo,1830
statsmodels/stats/tests/results/framing.csv,sha256=MAg7_Mb1Rg6R64hBaM5LgttH9n7jVVPPupSPxfcjdcE,24839
statsmodels/stats/tests/results/influence_lsdiag_R.json,sha256=j6XAc5nnLQaFIJaSKV0Vktessx-iBsPPvyeTbP9M0iU,19806
statsmodels/stats/tests/results/influence_measures_R.csv,sha256=xnEIi0pqheJfW3IxAztchd-vrm11UZ3lUaO8BRAoNFE,28619
statsmodels/stats/tests/results/influence_measures_bool_R.csv,sha256=VDvj8QWY6VS4NUsXFpVUvRPZVN8uOxjUZsOco28_HT8,9825
statsmodels/stats/tests/results/lilliefors_critical_value_simulation.py,sha256=7JwKYcMoQ2lWygGsQcnE81liJoXpcruF2tWUlUdL_tE,5491
statsmodels/stats/tests/results/results_influence_logit.csv,sha256=pxlSWxDuA-iudJ9CTSh7kDjGYWRLS4IsjzK56DrKBY0,3741
statsmodels/stats/tests/results/results_meta.py,sha256=wYt5E4fkgQ5nlblL4cePLkJk6omcBk2riYxUc_8OkVM,19003
statsmodels/stats/tests/results/results_multinomial_proportions.py,sha256=WMUJTk4XhHBonbhfRmhDr7CbnhaygA7zu7iKgOxV78Y,2761
statsmodels/stats/tests/results/results_panelrobust.py,sha256=CT69A5FahCP9jPO5rULKaV8VMCeedKBJQWdVCEKXzfc,2071
statsmodels/stats/tests/results/results_power.py,sha256=FG9Y5aTFIF1P_t2-g7FuGFTn8JINHpgPX9KpoQheR3k,4676
statsmodels/stats/tests/results/results_proportion.py,sha256=ot1NSIFRurTk6ciFHfA2E5Ex92Yzd3z0jqRCwCJt4uo,5188
statsmodels/stats/tests/results/results_rates.py,sha256=lDNoWRP_rmMLGm-n8OHfOILuEKrkJhqQt50Od-fDY2Y,1374
statsmodels/stats/tests/results/wspec1.csv,sha256=nKZvB3nb02xCEp_e2XxlqxFqQD3tlMY4CXvWLmm7YnU,835
statsmodels/stats/tests/results/wspec2.csv,sha256=kp2tgPBx5dElaV2AhlsTjkAsJo971bLU3G4XkASC5IM,1043
statsmodels/stats/tests/results/wspec3.csv,sha256=IphKF6gTwu63jW9PVJPHn8pePZcpyxLGN2DOxpW7790,941
statsmodels/stats/tests/results/wspec4.csv,sha256=7RBPoXLbnw60PyLG5s9iQ1G9EcNzoAqA0YQXz8e28NM,1257
statsmodels/stats/tests/test_anova.py,sha256=983EMXsYeeS3d5Zm_tOpo8l17McIrb85_SpREiAHcHA,19443
statsmodels/stats/tests/test_anova_rm.py,sha256=ihNMlbOcezOtK5dzEongHICLWRZJa7v5wzlq1zJYFLc,7509
statsmodels/stats/tests/test_base.py,sha256=0bwwm4kZp0xRPwVJU3pBmOjvvpb9e-9znUR6bByFuTE,1763
statsmodels/stats/tests/test_contingency_tables.py,sha256=f-ajPZvYVTmMGiHqqB_ag4UQZtRdDcUd4a1fKZFo8Hw,20944
statsmodels/stats/tests/test_contrast.py,sha256=TfwwS2dpXWmRGimx4AMXXjLMW-ZBvDl7cBqSq-n3AvI,2505
statsmodels/stats/tests/test_correlation.py,sha256=0RURPaQDzpxhwyU6-_2R4MCEZcye-RmMDQ1SSf4FSik,1782
statsmodels/stats/tests/test_corrpsd.py,sha256=rR2ohPLNQBLnWhYfqwpr3J-hHGQwHCz1Lui0t3pUcX0,16915
statsmodels/stats/tests/test_data.txt,sha256=lciL1EWV3ZvKPUWo7ZRX-vW95vpU8s2-Z4woS4fDX0Q,220000
statsmodels/stats/tests/test_descriptivestats.py,sha256=Oimi_EnnU0I8Ax1s1AO0QPQvgkHpUK-w6GB1xMF8hHA,7411
statsmodels/stats/tests/test_diagnostic.py,sha256=gScdFTXPNJMJIIB_H0gM9SNQ9OVUia1bF9EmimC6pCo,61366
statsmodels/stats/tests/test_diagnostic_other.py,sha256=NdXZy6brhZjNTaLiW_QnEik2TEAk8_8OAJRd--8vqK8,9357
statsmodels/stats/tests/test_dist_dependant_measures.py,sha256=aLq22zgLCFrpTfHST0YlTyk3Cxo0pc_c7jXViKtLaOY,7563
statsmodels/stats/tests/test_effectsize.py,sha256=Mou7FHF7MqVx6kaEG8vcRQCOqY07SUm3lnAvbkepsVM,2244
statsmodels/stats/tests/test_gof.py,sha256=iVQ1rqRQmS4UZ3zRTSzdPAWYQfgscey7Oum65sHtaqQ,3528
statsmodels/stats/tests/test_groups_sw.py,sha256=VtwHxVEzvxgDS_CyG2LCllvy7Jpi8q6tSM5ew5wAUYs,2737
statsmodels/stats/tests/test_influence.py,sha256=T-8QJrJRwYuQcZG4rbcQ0BVZrvzR7KRwnzYyLySFFro,9232
statsmodels/stats/tests/test_inter_rater.py,sha256=FynGY5jNdXMADPlaYIeUM9AfDQ698ryAMDOlDXxLGgU,13103
statsmodels/stats/tests/test_knockoff.py,sha256=xVbqXvlI6RxEB1KGMwVbLvxLw2iIo_QFMFitQdlclgA,4526
statsmodels/stats/tests/test_lilliefors.py,sha256=G7mrTxHxUVwoZJeVQAwCfOEDX0IJd7UbvlTO6i5ntrw,5263
statsmodels/stats/tests/test_mediation.py,sha256=xg-6B849qxZyISHtr7C-9U20zk1tdJi3hbi5-nfCUAo,10946
statsmodels/stats/tests/test_meta.py,sha256=hDDTGKGucI_iYxNTgTfL3V35XKLet9SWGqUm9ogoWeM,15246
statsmodels/stats/tests/test_moment_helpers.py,sha256=Ab_qSkIO-MYpvH9duIr6_rli5pFkt3z5HkBUiCZhpS4,5018
statsmodels/stats/tests/test_multi.py,sha256=wFNHKNYunVESY4GWgOONWW1-R63vZ5D_CUMtQPExnDM,21657
statsmodels/stats/tests/test_multivariate.py,sha256=BdoJGGHAeu3_gf78ITGY7-NjDQFh0ApJHByx_wFVMlE,12075
statsmodels/stats/tests/test_nonparametric.py,sha256=xvI2sUtob-cG1I87I4ccok1Su2Ss7leIxGvhTEt5Nq4,18508
statsmodels/stats/tests/test_oaxaca.py,sha256=QkreJEWSoxJcQwD7gw2HGKFcMGjpMLYvB2oxcKWCR-M,12970
statsmodels/stats/tests/test_oneway.py,sha256=WgMnDWZ75kLbKAqQrL3AJmoavgLJmGf5UeWNFh_611k,22694
statsmodels/stats/tests/test_outliers_influence.py,sha256=CdKzoqSTSXepMdJuGQwjTKQhDpkloW8C7Fi5k8mll2k,986
statsmodels/stats/tests/test_pairwise.py,sha256=lmLIBVw8V_Aeb8DCfbqUgRxCyLFq4F4zkGTGa5xe4oU,13314
statsmodels/stats/tests/test_panel_robustcov.py,sha256=MxNWybip6v7XT3fLZW0O0jlq7ZnLkL5Vps5v2Hagkmc,2791
statsmodels/stats/tests/test_power.py,sha256=F7T3BThL0a9RyI2B_QiAXRIW53X2VBo4yR6mhmuX-U8,27004
statsmodels/stats/tests/test_proportion.py,sha256=dUzcJztcwuKzAD1uvnkEC5QqFzGlqSXZGXhl0zcEPKk,41194
statsmodels/stats/tests/test_qsturng.py,sha256=3SFDRKiEqRF7nCkQKXdApf6rj8xsfAh1PACK1eriSU8,873
statsmodels/stats/tests/test_rates_poisson.py,sha256=c5GHNxpX1MkJWsavnGjFud994qMjfihirSDLmFoHpw0,10528
statsmodels/stats/tests/test_regularized_covariance.py,sha256=OxxxWEABaLeDjpfaJ62c2M_GTw1bDlZt3dxF-BndrtY,1569
statsmodels/stats/tests/test_robust_compare.py,sha256=y7iZ9EpSIDW18L37lgRZjkT-UonPv-PrxBVw6njZTFA,11355
statsmodels/stats/tests/test_sandwich.py,sha256=p8kges5i76MRf8OKFoQwfyBKz-v_SGJQn9R7GWl4FHA,3682
statsmodels/stats/tests/test_statstools.py,sha256=Fd4PCYOI7l1Sba1MPYaEsOayFkCC8PyKinNkfwGDuo4,11763
statsmodels/stats/tests/test_tabledist.py,sha256=Ps5ZxouFWM6P8ucnR4DLY6tj8AizeTt3eyf_LzL5R-U,4371
statsmodels/stats/tests/test_tost.py,sha256=9WT5f_MMsN1XygxHrqTYCW80YjF7YtiogP6n5_fC47Y,24793
statsmodels/stats/tests/test_weightstats.py,sha256=g5RrCQW_CUbk7iZ8Evc-TwxkK_0Ba99ckQjCC_3lREc,28791
statsmodels/stats/weightstats.py,sha256=tjfc3pBDLhcg85E_QCJlIPBBiWp8FuOIEyV65RRBGyI,56905
statsmodels/tests/__init__.py,sha256=cOHpb4aBMaxo_VBd760yq7PnCu5P-uRVDv_C-S8s5KA,49
statsmodels/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tests/__pycache__/test_package.cpython-39.pyc,,
statsmodels/tests/test_package.py,sha256=OZ5QZYjA_734JPIpQHwMVKGFbWjGs4Zt1kvlSGVbc2I,875
statsmodels/tools/__init__.py,sha256=1I8cPAmWTi_Zfeo-Wo549rySLVHzK9f_Lc6GE5Jg4mg,177
statsmodels/tools/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tools/__pycache__/_testing.cpython-39.pyc,,
statsmodels/tools/__pycache__/catadd.cpython-39.pyc,,
statsmodels/tools/__pycache__/data.cpython-39.pyc,,
statsmodels/tools/__pycache__/decorators.cpython-39.pyc,,
statsmodels/tools/__pycache__/docstring.cpython-39.pyc,,
statsmodels/tools/__pycache__/eval_measures.cpython-39.pyc,,
statsmodels/tools/__pycache__/grouputils.cpython-39.pyc,,
statsmodels/tools/__pycache__/linalg.cpython-39.pyc,,
statsmodels/tools/__pycache__/numdiff.cpython-39.pyc,,
statsmodels/tools/__pycache__/parallel.cpython-39.pyc,,
statsmodels/tools/__pycache__/print_version.cpython-39.pyc,,
statsmodels/tools/__pycache__/rng_qrng.cpython-39.pyc,,
statsmodels/tools/__pycache__/rootfinding.cpython-39.pyc,,
statsmodels/tools/__pycache__/sequences.cpython-39.pyc,,
statsmodels/tools/__pycache__/sm_exceptions.cpython-39.pyc,,
statsmodels/tools/__pycache__/testing.cpython-39.pyc,,
statsmodels/tools/__pycache__/tools.cpython-39.pyc,,
statsmodels/tools/__pycache__/transform_model.cpython-39.pyc,,
statsmodels/tools/__pycache__/web.cpython-39.pyc,,
statsmodels/tools/_testing.py,sha256=lH22fbEpvcIRrIEp4GDpEkZuoew359kNuMjFj3WzPSQ,6798
statsmodels/tools/catadd.py,sha256=vr8ny3yveVrZTMLZrfxaskAdp5u-DOcIIYTG1euUeNI,1047
statsmodels/tools/data.py,sha256=2fH3Fn31zeYWBr8DwfhgL-iPJGPXvq2SkHDb3WWoCeA,3503
statsmodels/tools/decorators.py,sha256=6KzCliMYQRi_Zi83SzMS-wAy19DyESezgWOCJh8cnSc,4519
statsmodels/tools/docstring.py,sha256=147tHzq_QpDQYBKejBpQcQQZ7OV2BxYUTAxlfqWo4ts,22723
statsmodels/tools/eval_measures.py,sha256=zDFbJwV0seMVkJdFfzgX9m7dlQ8sWEksiAKgMvZoaBs,16204
statsmodels/tools/grouputils.py,sha256=r_C1NYpJ9bUoi7BdoSk0MXaV0fSVNnklhuXp5bll3Mw,18776
statsmodels/tools/linalg.py,sha256=H3vcpwqETKyLoVL9L9aciWZljsqBp_DzlrgJmHovMKw,4979
statsmodels/tools/numdiff.py,sha256=Xk_FrPQ1OXDP7WyZCj47F3Tc5TCyWkM8tJ6awXIJ3DY,15539
statsmodels/tools/parallel.py,sha256=Mbf9vtdK6yzaJGL3bLvFyhF32k6cofO0DXcgmKdX4VE,2223
statsmodels/tools/print_version.py,sha256=pxkxujt2JLJmDC0B1VeAx_NtPEAuH3-KfpEJpf_jxLw,8843
statsmodels/tools/rng_qrng.py,sha256=6s1ms8GlHOUnZWQ8_sK97QteYrIS_popOade8SFRF5Q,1910
statsmodels/tools/rootfinding.py,sha256=35rEfNiQM4Crq9cUeNcIs19rexXGOLvRCGKJLZOj71E,7648
statsmodels/tools/sequences.py,sha256=P-Z9ZhS6s2zSrLWYeu5bdaXFKpCHROclMgScISVHdWA,6937
statsmodels/tools/sm_exceptions.py,sha256=x_fjz3AC67YAHYf_SXrcC9aVD6tNX5xJcpTTr9Fhk-k,4450
statsmodels/tools/testing.py,sha256=6qG3OKfvcxXqMuBcIIwosu6I2GgUEcDXuiTyiDxX2qM,2530
statsmodels/tools/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tools/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tools/tests/__pycache__/test_catadd.cpython-39.pyc,,
statsmodels/tools/tests/__pycache__/test_data.cpython-39.pyc,,
statsmodels/tools/tests/__pycache__/test_decorators.cpython-39.pyc,,
statsmodels/tools/tests/__pycache__/test_docstring.cpython-39.pyc,,
statsmodels/tools/tests/__pycache__/test_eval_measures.cpython-39.pyc,,
statsmodels/tools/tests/__pycache__/test_grouputils.cpython-39.pyc,,
statsmodels/tools/tests/__pycache__/test_linalg.cpython-39.pyc,,
statsmodels/tools/tests/__pycache__/test_numdiff.cpython-39.pyc,,
statsmodels/tools/tests/__pycache__/test_parallel.cpython-39.pyc,,
statsmodels/tools/tests/__pycache__/test_rootfinding.cpython-39.pyc,,
statsmodels/tools/tests/__pycache__/test_sequences.cpython-39.pyc,,
statsmodels/tools/tests/__pycache__/test_testing.cpython-39.pyc,,
statsmodels/tools/tests/__pycache__/test_tools.cpython-39.pyc,,
statsmodels/tools/tests/__pycache__/test_transform_model.cpython-39.pyc,,
statsmodels/tools/tests/__pycache__/test_web.cpython-39.pyc,,
statsmodels/tools/tests/test_catadd.py,sha256=o0mNMkJpqKrIdhWbx9GMRLd_5znj7o4MO6wmx9WHOF0,692
statsmodels/tools/tests/test_data.py,sha256=vZpRC3evmcAdsD866w1sk5hSmh6Eh7bv2iCKPLOhpO8,1017
statsmodels/tools/tests/test_decorators.py,sha256=i1kl2ieul2wOVDroePUvvrmwpufn9Lk86kz9pNbc4no,2030
statsmodels/tools/tests/test_docstring.py,sha256=poc1AmpQthx3m8_sWvzB7QAp41gVzjXsQ62wRjsdxho,3426
statsmodels/tools/tests/test_eval_measures.py,sha256=Os8Lj1WUOazIFd8hdLbVdLZ6ashT77IZPEuB0LVq4Uc,4237
statsmodels/tools/tests/test_grouputils.py,sha256=m3Sc5eoNvQd4mFxay-5fhO2l_5QpuEP5yhY73rDigVc,15006
statsmodels/tools/tests/test_linalg.py,sha256=tVb1StD3ao16wKOOVUWaa_ETskVnEDrznytXqF2cdrQ,755
statsmodels/tools/tests/test_numdiff.py,sha256=nIgJLKNBA14dmh4lw79GhdNFFt3YDiSpzx0U9BMb7F4,15454
statsmodels/tools/tests/test_parallel.py,sha256=s1sqB-ismWhJIv9okWARe1WTFgvDVq9PLA2kzwxPyTA,416
statsmodels/tools/tests/test_rootfinding.py,sha256=r7zeC4HGe71kVTcutg7BhwYdHPSZGh330rOlAOyOa1A,3053
statsmodels/tools/tests/test_sequences.py,sha256=3ju3BbSKmb-qeW_CgXmcRFuwVqQeLijA9Z3sjZsMUFE,1681
statsmodels/tools/tests/test_testing.py,sha256=-yOmGy9S6Eej2FkvslZN7MIpJqEkw7YlT_i-IhPU_ms,796
statsmodels/tools/tests/test_tools.py,sha256=LCtEzNnC9T1sDrCRlTf9ByiY9M4JINjqyN-OYef53cQ,17930
statsmodels/tools/tests/test_transform_model.py,sha256=vdlesbI7f8xL-3Drrg9adzCLhtQwWX7CeM6wefpajwc,1850
statsmodels/tools/tests/test_web.py,sha256=_TUeJagcny0yYGvjYV2c6VX9tTeVF6JpipQi2utMDw8,1685
statsmodels/tools/tools.py,sha256=Xl5WetLI_ULAD1EbPQEKxvDcL4t9tse4seYekTDecpI,19189
statsmodels/tools/transform_model.py,sha256=0C147vq7Cr6DDJnI45Uo-4ISkAdbDG7q_sN9gaRzOrY,2914
statsmodels/tools/validation/__init__.py,sha256=rirup0r64oNOx1Q5KHyROePWTvuWXWsmEwet-xUTBLY,352
statsmodels/tools/validation/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tools/validation/__pycache__/decorators.cpython-39.pyc,,
statsmodels/tools/validation/__pycache__/validation.cpython-39.pyc,,
statsmodels/tools/validation/decorators.py,sha256=bcESQE-AVlenTida5WepTsdshxfTo-66tDmsKv-gEmg,1026
statsmodels/tools/validation/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tools/validation/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tools/validation/tests/__pycache__/test_validation.cpython-39.pyc,,
statsmodels/tools/validation/tests/test_validation.py,sha256=5GMOxyZDiLO4c0Bhkj8tT85WdvggEWbLQhG_hi16ltA,12985
statsmodels/tools/validation/validation.py,sha256=Qi3ejeSVrKLzlIXdxgri30zCVbBQnndcAx-CnIiOM3E,14821
statsmodels/tools/web.py,sha256=UfYk7IsivOHTQfSm-Yt5Jtti3cuZhteK0-qCoxj3EtU,2325
statsmodels/tsa/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/tsa/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/__pycache__/_bds.cpython-39.pyc,,
statsmodels/tsa/__pycache__/adfvalues.cpython-39.pyc,,
statsmodels/tsa/__pycache__/api.cpython-39.pyc,,
statsmodels/tsa/__pycache__/ar_model.cpython-39.pyc,,
statsmodels/tsa/__pycache__/arima_model.cpython-39.pyc,,
statsmodels/tsa/__pycache__/arima_process.cpython-39.pyc,,
statsmodels/tsa/__pycache__/arma_mle.cpython-39.pyc,,
statsmodels/tsa/__pycache__/coint_tables.cpython-39.pyc,,
statsmodels/tsa/__pycache__/descriptivestats.cpython-39.pyc,,
statsmodels/tsa/__pycache__/deterministic.cpython-39.pyc,,
statsmodels/tsa/__pycache__/mlemodel.cpython-39.pyc,,
statsmodels/tsa/__pycache__/seasonal.cpython-39.pyc,,
statsmodels/tsa/__pycache__/stattools.cpython-39.pyc,,
statsmodels/tsa/__pycache__/tsatools.cpython-39.pyc,,
statsmodels/tsa/__pycache__/varma_process.cpython-39.pyc,,
statsmodels/tsa/__pycache__/x13.cpython-39.pyc,,
statsmodels/tsa/_bds.py,sha256=MBYe7EZaKp9PSxnvq5KT5KZG1p3_K_Zyq605tdZ_67M,7644
statsmodels/tsa/_innovations.cp39-win_amd64.pyd,sha256=DzWk964uTQXT8jth__30Ls9WQEBTeURy5yeNyWDxBrI,140800
statsmodels/tsa/_stl.cp39-win_amd64.pyd,sha256=I_3qvpSu7VBX3tXu9Dd1v_ffYyF3QqjbCszvPJJW4i8,185856
statsmodels/tsa/adfvalues.py,sha256=PNWWfc_yJNM-hh_nk23hpOojqOL6ugcVhN6myzuT66M,16722
statsmodels/tsa/api.py,sha256=bEqJTYLqnUVMn3KFOWtC2Shh529GDCzJP01QJ5iLlKM,2787
statsmodels/tsa/ar_model.py,sha256=eUkQHZMF7kNdb4usn8_sJ4IwD6G29cfsJxFO_iPrr9M,67971
statsmodels/tsa/ardl/__init__.py,sha256=X_DDoLYk5CLIwLHP5z1ikzUIEkVMyvxw6qqNgzSA19I,351
statsmodels/tsa/ardl/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/ardl/__pycache__/model.cpython-39.pyc,,
statsmodels/tsa/ardl/__pycache__/pss_critical_values.cpython-39.pyc,,
statsmodels/tsa/ardl/_pss_critical_values/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/ardl/_pss_critical_values/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/ardl/_pss_critical_values/__pycache__/pss-process.cpython-39.pyc,,
statsmodels/tsa/ardl/_pss_critical_values/__pycache__/pss.cpython-39.pyc,,
statsmodels/tsa/ardl/_pss_critical_values/pss-process.py,sha256=pMbd7UvodcynuR-GsdIsdo3hR2jKmGqirYJjFscL6YA,5640
statsmodels/tsa/ardl/_pss_critical_values/pss.py,sha256=Km3dQxTv9okBKDFGDdbgdp6miYJRtz9N_AHD0gQM_W8,2746
statsmodels/tsa/ardl/model.py,sha256=relFhQrHU6RdvXsDjyR36JNGesv82KLpqGhPZ_45BQc,99227
statsmodels/tsa/ardl/pss_critical_values.py,sha256=I8IUw_PbZplTRtVetKm37yZPQwj37Tf_7XK_w9vrR7s,22897
statsmodels/tsa/ardl/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/ardl/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/ardl/tests/__pycache__/test_ardl.cpython-39.pyc,,
statsmodels/tsa/ardl/tests/test_ardl.py,sha256=o8ZX5gbKhUqiz33xHR4k2iwoULMP_sTi2_Y5ezNHvM4,25132
statsmodels/tsa/arima/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/arima/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/arima/__pycache__/api.cpython-39.pyc,,
statsmodels/tsa/arima/__pycache__/model.cpython-39.pyc,,
statsmodels/tsa/arima/__pycache__/params.cpython-39.pyc,,
statsmodels/tsa/arima/__pycache__/specification.cpython-39.pyc,,
statsmodels/tsa/arima/__pycache__/tools.cpython-39.pyc,,
statsmodels/tsa/arima/api.py,sha256=9Km5Ci5Y4Umw_g5GfWocXXskdmFxU3KwKapxSe2Jigo,70
statsmodels/tsa/arima/datasets/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/arima/datasets/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/arima/datasets/brockwell_davis_2002/__init__.py,sha256=Aac-n1UmX7cTDAdj1BQUxwSdq5pep_A09DNyNlBlfEc,380
statsmodels/tsa/arima/datasets/brockwell_davis_2002/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/__pycache__/dowj.cpython-39.pyc,,
statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/__pycache__/lake.cpython-39.pyc,,
statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/__pycache__/oshorts.cpython-39.pyc,,
statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/__pycache__/sbl.cpython-39.pyc,,
statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/dowj.py,sha256=xvlaAyZLzzmUxS6xudcqZmwp6bFIu9gFMhVVZWXnk-w,1401
statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/lake.py,sha256=nmHCsKXpIaVeGfQ7SVj1naW5XxzQruRj2oRVO1Vmnk0,1247
statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/oshorts.py,sha256=9QqKNypmPdBY-FobCO1DDM6mZR5mEo7j8xEA1bwiwFY,841
statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/sbl.py,sha256=vQ8sgV28ln9jCJo-HHHUzjhpbABziVIQip249LJ6Mhs,1428
statsmodels/tsa/arima/estimators/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/arima/estimators/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/arima/estimators/__pycache__/burg.cpython-39.pyc,,
statsmodels/tsa/arima/estimators/__pycache__/durbin_levinson.cpython-39.pyc,,
statsmodels/tsa/arima/estimators/__pycache__/gls.cpython-39.pyc,,
statsmodels/tsa/arima/estimators/__pycache__/hannan_rissanen.cpython-39.pyc,,
statsmodels/tsa/arima/estimators/__pycache__/innovations.cpython-39.pyc,,
statsmodels/tsa/arima/estimators/__pycache__/statespace.cpython-39.pyc,,
statsmodels/tsa/arima/estimators/__pycache__/yule_walker.cpython-39.pyc,,
statsmodels/tsa/arima/estimators/burg.py,sha256=KAF8s8mB6zXTX_bPjj6rUyWSWLi7S-5bml41u37mQHA,2364
statsmodels/tsa/arima/estimators/durbin_levinson.py,sha256=Lx57t8lnpWpBp8jaQdvdvDsKGnzdwbNh2KGr1AxngE8,3687
statsmodels/tsa/arima/estimators/gls.py,sha256=D1bl-oV-N8Z40g2fUTelLE0FSW_fC2lsxLFxXsmWKDU,13679
statsmodels/tsa/arima/estimators/hannan_rissanen.py,sha256=85HlCDcDFgS22sKUDl7CYnQEWZEtBg0S-P_XW598Kbw,17544
statsmodels/tsa/arima/estimators/innovations.py,sha256=syIoXiwaGF8IRMwVD09l_XRYnzmnCVuyupcPmwsGqu0,9917
statsmodels/tsa/arima/estimators/statespace.py,sha256=tKfLq6lH54_VDVrmvH5OkfJa7WjIhSFzx-0Zq-7icEI,5072
statsmodels/tsa/arima/estimators/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/arima/estimators/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/arima/estimators/tests/__pycache__/test_burg.cpython-39.pyc,,
statsmodels/tsa/arima/estimators/tests/__pycache__/test_durbin_levinson.cpython-39.pyc,,
statsmodels/tsa/arima/estimators/tests/__pycache__/test_gls.cpython-39.pyc,,
statsmodels/tsa/arima/estimators/tests/__pycache__/test_hannan_rissanen.cpython-39.pyc,,
statsmodels/tsa/arima/estimators/tests/__pycache__/test_innovations.cpython-39.pyc,,
statsmodels/tsa/arima/estimators/tests/__pycache__/test_statespace.cpython-39.pyc,,
statsmodels/tsa/arima/estimators/tests/__pycache__/test_yule_walker.cpython-39.pyc,,
statsmodels/tsa/arima/estimators/tests/test_burg.py,sha256=konoxeWGKxgZUC3PnNbYmlm8rthLRdVpGCsQiGIVXRI,4081
statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py,sha256=FKfe-HreqrLYAPmoMRrJwzjdbo1SZoSGufexjA5rvIM,4140
statsmodels/tsa/arima/estimators/tests/test_gls.py,sha256=vW_v2lF25NB_OWo9kMQT2AKSC1hAhI96-d9xqroOGwM,8628
statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py,sha256=VVNNSaUZ6y8CBKk2iPZurSPdqljQHKDFVVsS6lG-_PI,14665
statsmodels/tsa/arima/estimators/tests/test_innovations.py,sha256=kaXewc7Yjby1l34vHoNhRiKLKmqaYIZyKNhDAgmH3is,13349
statsmodels/tsa/arima/estimators/tests/test_statespace.py,sha256=ggL_Moi3HkioZ_I24Z5kcSK0CL8GMHwrA7VapaIGn8E,2255
statsmodels/tsa/arima/estimators/tests/test_yule_walker.py,sha256=aeTaDbEFF-bkLqXcNmg7bpiGkQ-hql4XRBd36JMCOho,3064
statsmodels/tsa/arima/estimators/yule_walker.py,sha256=xgCPy2N3c4Pw9e9YLTeviAndN8BkszD2WFWtebboDyw,2593
statsmodels/tsa/arima/model.py,sha256=gtky4FtRR3ApY9xXQfkgQLLLNu5PiYjJ7xH3ZJZM2lk,25821
statsmodels/tsa/arima/params.py,sha256=50NI8GspDZN6sBLUHFTVxPrJJrQGSYYpkBXPPFDEwWo,15521
statsmodels/tsa/arima/specification.py,sha256=Cl5S_1oUqCifzRM2zH9loTZYbFW-L97rsZICYy7XPQo,47407
statsmodels/tsa/arima/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/arima/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/arima/tests/__pycache__/test_model.cpython-39.pyc,,
statsmodels/tsa/arima/tests/__pycache__/test_params.cpython-39.pyc,,
statsmodels/tsa/arima/tests/__pycache__/test_specification.cpython-39.pyc,,
statsmodels/tsa/arima/tests/__pycache__/test_tools.cpython-39.pyc,,
statsmodels/tsa/arima/tests/test_model.py,sha256=TdQCQ31_UDh0pprSdJeyS9EYfuWsqpn4up0EzrLMCOs,15429
statsmodels/tsa/arima/tests/test_params.py,sha256=FiXMQNNtqyYS0-29unk_nvUN0HcfIE-LL6YFlJvCjCY,23009
statsmodels/tsa/arima/tests/test_specification.py,sha256=o7_8nu14fBuQMEjsSVifSP0ATeuU5BWfLPYB69iEBRM,24737
statsmodels/tsa/arima/tests/test_tools.py,sha256=ZRFjaVDOAEGRrzRspXErImVZHZH9Xt5vcyNuvR44l44,3472
statsmodels/tsa/arima/tools.py,sha256=E56-XYlVXM6eQ9sgtwguDmbbVEN7hPAOHj4vodC0uS4,5646
statsmodels/tsa/arima_model.py,sha256=ho_sNx-l2DxLoJlr0bnm9Lrw_RH-tezTBFyA07bVO6I,1873
statsmodels/tsa/arima_process.py,sha256=gbtMKz91D-nqOGOO9njwwJ9h6vd2RMIpGFCDw0XBfic,31411
statsmodels/tsa/arma_mle.py,sha256=sqcuu6S-731ezClCfnsLKXUlkjuwb_bu-Moqiv6ps48,14009
statsmodels/tsa/base/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/tsa/base/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/base/__pycache__/datetools.cpython-39.pyc,,
statsmodels/tsa/base/__pycache__/prediction.cpython-39.pyc,,
statsmodels/tsa/base/__pycache__/tsa_model.cpython-39.pyc,,
statsmodels/tsa/base/datetools.py,sha256=zdwc86suFQ9e6FjJXrL-Obd_Ov8W1UgNq7H2PGPqa-g,5982
statsmodels/tsa/base/prediction.py,sha256=-rP2BMX0Wtbr2YWXHu0sV9YncfFEDP4NpAyG00cjQ3s,6352
statsmodels/tsa/base/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/base/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/base/tests/__pycache__/test_base.cpython-39.pyc,,
statsmodels/tsa/base/tests/__pycache__/test_datetools.cpython-39.pyc,,
statsmodels/tsa/base/tests/__pycache__/test_prediction.cpython-39.pyc,,
statsmodels/tsa/base/tests/__pycache__/test_tsa_indexes.cpython-39.pyc,,
statsmodels/tsa/base/tests/test_base.py,sha256=Q0bPUUNpi57ZO_fd6bLEqsi6rzu93dtDYOWxA1QZpJ8,3830
statsmodels/tsa/base/tests/test_datetools.py,sha256=BXezK78xS0WegQHj9Vsou5_5nhBYAR9Iehjf8ufW-wk,3261
statsmodels/tsa/base/tests/test_prediction.py,sha256=X_yXsX4QHqL0iDPMb2ZRRCYDXTgpj0Zx4m2lGcET0nI,1524
statsmodels/tsa/base/tests/test_tsa_indexes.py,sha256=JbGP2VLn6LltZGWPt9YTMiNx7fEokO3JuKqEUkGIqYI,46174
statsmodels/tsa/base/tsa_model.py,sha256=xsnukj-13WzkRivsygG0X7hV3pOQvS6lZYl9MB_dp8o,35756
statsmodels/tsa/coint_tables.py,sha256=Ix3fObgmC9ZZLj9Ez8YwmedV_5akZtU5tIZ3vN3bvNQ,7568
statsmodels/tsa/descriptivestats.py,sha256=1etvovKyp7TYt_1b7kOMOM_5hLp6byvLj6wr8ibYuEs,2383
statsmodels/tsa/deterministic.py,sha256=GBMuPBcVac-vWkZxFdoz7kukZ0MWoUOPkYHHtCDuLQY,52291
statsmodels/tsa/exponential_smoothing/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/exponential_smoothing/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/exponential_smoothing/__pycache__/base.cpython-39.pyc,,
statsmodels/tsa/exponential_smoothing/__pycache__/ets.cpython-39.pyc,,
statsmodels/tsa/exponential_smoothing/__pycache__/initialization.cpython-39.pyc,,
statsmodels/tsa/exponential_smoothing/_ets_smooth.cp39-win_amd64.pyd,sha256=jxdy99GGXbv9acvHnMKjwnEXoBdM6q_CqeX0JFGBo98,352768
statsmodels/tsa/exponential_smoothing/base.py,sha256=XaahqeeNM5CFca1C6EFuttlinlpFB8kLmEO9Et0W_a4,37268
statsmodels/tsa/exponential_smoothing/ets.py,sha256=LClPv0cDGK1Y2hS6Gwa7vK-Mj4z_ghipxUUX43Pcr3k,90908
statsmodels/tsa/exponential_smoothing/initialization.py,sha256=NC5ON-ERu2qBSVfF8tARWimEvCpRTsXxrJWv3NehOB8,4603
statsmodels/tsa/filters/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/tsa/filters/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/filters/__pycache__/_utils.cpython-39.pyc,,
statsmodels/tsa/filters/__pycache__/api.cpython-39.pyc,,
statsmodels/tsa/filters/__pycache__/bk_filter.cpython-39.pyc,,
statsmodels/tsa/filters/__pycache__/cf_filter.cpython-39.pyc,,
statsmodels/tsa/filters/__pycache__/filtertools.cpython-39.pyc,,
statsmodels/tsa/filters/__pycache__/hp_filter.cpython-39.pyc,,
statsmodels/tsa/filters/_utils.py,sha256=AroYbWIDm3XPghuq3UAcoThuKSENI3Sx-Txj1EmZbdo,3067
statsmodels/tsa/filters/api.py,sha256=gr2oqrx5Z3tN4prMW1F__xkJf-9x2QC2IMOWpiCD_Jc,294
statsmodels/tsa/filters/bk_filter.py,sha256=J_AC8X3qa3VAwGfr4FRdfpMjw8NifBkSHJLXuUajoak,3552
statsmodels/tsa/filters/cf_filter.py,sha256=7hRdz4ofHF0n3oIot5JRxKV54rF8RhRr8UEXQWtfOkw,3817
statsmodels/tsa/filters/filtertools.py,sha256=wTRnFo0moY0iDht9pRtLIrzSvNS1rGxz3OQxy-J1EDc,12514
statsmodels/tsa/filters/hp_filter.py,sha256=DdVhXHWehz6DA6RVUICzHPlg5I1fJ5WO4BCDLE_l1Ss,3341
statsmodels/tsa/filters/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/filters/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/filters/tests/__pycache__/test_filters.cpython-39.pyc,,
statsmodels/tsa/filters/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/filters/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/filters/tests/results/__pycache__/filter_results.cpython-39.pyc,,
statsmodels/tsa/filters/tests/results/filter_results.py,sha256=lrlVuEz6XpNrh5BTgRfY_cDXdJWJoQZ541MjXjD9mHI,3945
statsmodels/tsa/filters/tests/test_filters.py,sha256=kB_uL6pmKf9LgS29wL3CNFBGvfgRmvfd7n7PUfUXfr0,40103
statsmodels/tsa/forecasting/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/forecasting/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/forecasting/__pycache__/stl.cpython-39.pyc,,
statsmodels/tsa/forecasting/__pycache__/theta.cpython-39.pyc,,
statsmodels/tsa/forecasting/stl.py,sha256=colOIT35gpzdb0Pr5sMcO5VvnD5f-rGhDE8ynfvtnIM,18882
statsmodels/tsa/forecasting/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/forecasting/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/forecasting/tests/__pycache__/test_stl.cpython-39.pyc,,
statsmodels/tsa/forecasting/tests/__pycache__/test_theta.cpython-39.pyc,,
statsmodels/tsa/forecasting/tests/test_stl.py,sha256=TCfmYbNkX1Q3cRUXyeJvB-Yt29YWACr7rvatioHwwKE,6445
statsmodels/tsa/forecasting/tests/test_theta.py,sha256=2-sumAjPQcTO-5REvZxo45eIxHBKU8xTbQ8LnAH-Z-o,4764
statsmodels/tsa/forecasting/theta.py,sha256=-EGH7xgHaLSVK6JBZz2WNGVYrEtaQd4Izyq2oVO5tho,23768
statsmodels/tsa/holtwinters/__init__.py,sha256=NmyiYCZe7KKMOUdTb9xMQ2zkYLvpMuNgeVwYrlqYmik,371
statsmodels/tsa/holtwinters/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/holtwinters/__pycache__/_smoothers.cpython-39.pyc,,
statsmodels/tsa/holtwinters/__pycache__/model.cpython-39.pyc,,
statsmodels/tsa/holtwinters/__pycache__/results.cpython-39.pyc,,
statsmodels/tsa/holtwinters/_exponential_smoothers.cp39-win_amd64.pyd,sha256=XXXtt6dOO4OiD2maoM1yd9Z6qsWi5qRPjS7mlF5L1-c,240128
statsmodels/tsa/holtwinters/_smoothers.py,sha256=bwX9d7RRLQyWW2XtSxhJQMU5chzrh6_73ldQH_wLlgY,10550
statsmodels/tsa/holtwinters/model.py,sha256=u7LRFyMesdT5qPWy_-EJnEfdACDKFul5azDwY9XZFJs,69623
statsmodels/tsa/holtwinters/results.py,sha256=H8JP1jj7VZg3_oKu9mKdeeH_fiW0lgvSa0t0f0qF0w8,26829
statsmodels/tsa/holtwinters/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/holtwinters/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/holtwinters/tests/__pycache__/test_holtwinters.cpython-39.pyc,,
statsmodels/tsa/holtwinters/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/holtwinters/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/holtwinters/tests/results/housing-data.csv,sha256=0dGzsxOoAEMh7OHE-jGn-ujIOEzFPJjDH6EnIQT7COg,12633
statsmodels/tsa/holtwinters/tests/test_holtwinters.py,sha256=SivBF-DIJleUZDw50Cb3iAwY_WKA9yEqa40iiKUF3oc,69594
statsmodels/tsa/innovations/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/tsa/innovations/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/innovations/__pycache__/api.cpython-39.pyc,,
statsmodels/tsa/innovations/__pycache__/arma_innovations.cpython-39.pyc,,
statsmodels/tsa/innovations/_arma_innovations.cp39-win_amd64.pyd,sha256=QdM-836ASkfYA1TxRsZx62YcslBBGh01zIy3CJEerAU,364032
statsmodels/tsa/innovations/api.py,sha256=KM_61uTP2VkKvgad4Rf4WysBqn_vu1StFc_PPdUnLOg,280
statsmodels/tsa/innovations/arma_innovations.py,sha256=r0nEE643uetE7ZpxGR2b9gApty5avN9P9_YcjXwcg0k,10062
statsmodels/tsa/innovations/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/innovations/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/innovations/tests/__pycache__/test_arma_innovations.cpython-39.pyc,,
statsmodels/tsa/innovations/tests/__pycache__/test_cython_arma_innovations_fast.cpython-39.pyc,,
statsmodels/tsa/innovations/tests/test_arma_innovations.py,sha256=-JONgPKZD17JaZlQVUHT9QQBYgtbz67GpFASJyUue1I,2190
statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py,sha256=XdB-curc71UyGT4RayvDCX9fTukyN7xhJJQwkoSTdKg,14236
statsmodels/tsa/interp/__init__.py,sha256=LcQfC5IMO8XneojsvUENn2RoNpFYcWUYJdxFBG8aEEc,138
statsmodels/tsa/interp/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/interp/__pycache__/denton.cpython-39.pyc,,
statsmodels/tsa/interp/denton.py,sha256=pNLVCM6k6IUKft8LofPbX96hIwbStUlneYSwMBHlSg4,11128
statsmodels/tsa/interp/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/interp/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/interp/tests/__pycache__/test_denton.cpython-39.pyc,,
statsmodels/tsa/interp/tests/test_denton.py,sha256=9PdOKdRSkfGfaTj8xAJVENd53-yVkZlmaCNMlprfjsA,1262
statsmodels/tsa/mlemodel.py,sha256=bBKoEI69kQrUAvaZDgcchNNDEuKzr3sIImWoU57Rc2E,2235
statsmodels/tsa/regime_switching/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/tsa/regime_switching/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/regime_switching/__pycache__/markov_autoregression.cpython-39.pyc,,
statsmodels/tsa/regime_switching/__pycache__/markov_regression.cpython-39.pyc,,
statsmodels/tsa/regime_switching/__pycache__/markov_switching.cpython-39.pyc,,
statsmodels/tsa/regime_switching/_hamilton_filter.cp39-win_amd64.pyd,sha256=SdiqrOFppAoYG97PJzilR7ADn3ZQYhyG77J5bTwIo54,221696
statsmodels/tsa/regime_switching/_kim_smoother.cp39-win_amd64.pyd,sha256=796vW1MLj2C_ubDBiho5S12iOK2H2hm4ld87ybgvQX0,211456
statsmodels/tsa/regime_switching/markov_autoregression.py,sha256=ttCBoPIoLicaaaj2V2ByMYZzUQBSXDiliP_z_x6utH4,18468
statsmodels/tsa/regime_switching/markov_regression.py,sha256=OcPNTbJGAgH3SsxjyQ90tq9WLkbSQAEkXbB0s6RUOlA,16902
statsmodels/tsa/regime_switching/markov_switching.py,sha256=DhPnBkj7aw5azTlKRYnrWZV2QK97trDRhucOY3fIcG4,85275
statsmodels/tsa/regime_switching/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/regime_switching/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/regime_switching/tests/__pycache__/test_markov_autoregression.cpython-39.pyc,,
statsmodels/tsa/regime_switching/tests/__pycache__/test_markov_regression.cpython-39.pyc,,
statsmodels/tsa/regime_switching/tests/__pycache__/test_markov_switching.cpython-39.pyc,,
statsmodels/tsa/regime_switching/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/regime_switching/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/regime_switching/tests/results/mar_filardo.csv,sha256=692YPaqk4_51Zm9nP51BoYQYgNWvAPU8OByoR7UVuPo,39966
statsmodels/tsa/regime_switching/tests/results/results_predict_fedfunds.csv,sha256=r-6HFESRDF5TOD0Ba1YXK8-Q9GPZS2pq5nUwJGa0ONY,28228
statsmodels/tsa/regime_switching/tests/results/results_predict_rgnp.csv,sha256=-G8bwv7efg7P7DfyNNIPcsuUWUesvJ86BOV3UZgmJ1A,13403
statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py,sha256=bDQdFDDUXFvMNFETHVgHQqxMTJh0ic5MN-xqsznjikM,42306
statsmodels/tsa/regime_switching/tests/test_markov_regression.py,sha256=BzoObY1k7W9uw6X9IVSSCL2E8hGba4OIU_pkz8Xfq8I,71355
statsmodels/tsa/regime_switching/tests/test_markov_switching.py,sha256=o0Z1JQXsmEVK9j9GBP6_UhaK1zwE2cVix_grAM7HLSo,12560
statsmodels/tsa/seasonal.py,sha256=2heOKny0MQqelvx3MwgXqwQtkz9kqiBDMpOSWbnOgu4,11031
statsmodels/tsa/statespace/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/tsa/statespace/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/_pykalman_smoother.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/_quarterly_ar1.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/api.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/cfa_simulation_smoother.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/dynamic_factor.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/dynamic_factor_mq.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/exponential_smoothing.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/initialization.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/kalman_filter.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/kalman_smoother.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/mlemodel.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/news.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/representation.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/sarimax.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/simulation_smoother.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/structural.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/tools.cpython-39.pyc,,
statsmodels/tsa/statespace/__pycache__/varmax.cpython-39.pyc,,
statsmodels/tsa/statespace/_cfa_simulation_smoother.cp39-win_amd64.pyd,sha256=_ybwMTXmz9pWdjYOz4zPV1RvDuFCK4KC8Xb-O8cqt0s,338432
statsmodels/tsa/statespace/_filters/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/statespace/_filters/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/statespace/_filters/_conventional.cp39-win_amd64.pyd,sha256=Beu8osJHLKthdn5SNsRHKNGbuWLJ6fLtQaRMfaZbAqA,176640
statsmodels/tsa/statespace/_filters/_inversions.cp39-win_amd64.pyd,sha256=ZFR6t5Ab1532ENDltxlAaA8QvirlqmDl_hH3_MzJ2qc,208896
statsmodels/tsa/statespace/_filters/_univariate.cp39-win_amd64.pyd,sha256=AJ0OjLVlULqINFFS4keqPEzygFWLgdN0rHj75-01hXg,202752
statsmodels/tsa/statespace/_filters/_univariate_diffuse.cp39-win_amd64.pyd,sha256=_u7sDaUOtWSSGOftq06UCgDoCFEkdm6HtJEqVNSF4B8,177664
statsmodels/tsa/statespace/_initialization.cp39-win_amd64.pyd,sha256=eE8ph2Y7pnJ0fQKLtlZlRQce25DR5cDY2suKs-6Q5SA,234496
statsmodels/tsa/statespace/_kalman_filter.cp39-win_amd64.pyd,sha256=6jQsSqN7qV_NJ2t9G-vlvdY0w8FV7URqBhsuafGdxkY,661504
statsmodels/tsa/statespace/_kalman_smoother.cp39-win_amd64.pyd,sha256=lYnNfELrF8y5nv4unekvIJ1ppReW8pLHPOydBYharQU,407040
statsmodels/tsa/statespace/_pykalman_smoother.py,sha256=bZzfMFBiheVgZUGSE-ZdkFXVde4W3AIhDoXvBAJzafQ,11300
statsmodels/tsa/statespace/_quarterly_ar1.py,sha256=-DSIovIkrbsgr89FEwO1zvvbsCMPT3ABAdljP2LaPYI,7571
statsmodels/tsa/statespace/_representation.cp39-win_amd64.pyd,sha256=N_8ZqZooYYZZ_6n8r7o2PYGJEeetG9vvVfQlnjDP7-U,642048
statsmodels/tsa/statespace/_simulation_smoother.cp39-win_amd64.pyd,sha256=fS_zTkYF8DzCNuB6vGYZ9m-HegufM-HPGq87jy6P_kc,404992
statsmodels/tsa/statespace/_smoothers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/statespace/_smoothers/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/statespace/_smoothers/_alternative.cp39-win_amd64.pyd,sha256=BeBm-yNDLZfHEw7ulkEhev5c0DXR612vN4Tochy8BWo,136704
statsmodels/tsa/statespace/_smoothers/_classical.cp39-win_amd64.pyd,sha256=re_B6YmQVMSWYvZ-rk9gvFDb5Gg7QeuTkM5N7OvqFhM,140800
statsmodels/tsa/statespace/_smoothers/_conventional.cp39-win_amd64.pyd,sha256=z2u1A2Z8INiPAltHpJpyEloGWlWP8TAd62ACaYlKLbM,138752
statsmodels/tsa/statespace/_smoothers/_univariate.cp39-win_amd64.pyd,sha256=TCqQqSjqHqWVXIt7IPwiJhVY-Je17loW_ndLDSzh5Cw,153088
statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.cp39-win_amd64.pyd,sha256=jHUDrz4glHmqSR32vYrCMsfdlLw7hZ-F0mL6kB62vSQ,206848
statsmodels/tsa/statespace/_tools.cp39-win_amd64.pyd,sha256=XQoTszQxjIQsvjpJMjsad7TM-H5XDarjPbghcK087QE,412160
statsmodels/tsa/statespace/api.py,sha256=4wE6i4yO33HwWH3XHjRoKeTHegUiXb5PT4Na5dhkeFw,308
statsmodels/tsa/statespace/cfa_simulation_smoother.py,sha256=FGezU99mROsDEthTkqPjGY4Q8AaOgYp7jSzDBHhwFq8,10538
statsmodels/tsa/statespace/dynamic_factor.py,sha256=MyuVjrdevECQvswswO19R5fIDim893le4BLuFoKnTHk,55831
statsmodels/tsa/statespace/dynamic_factor_mq.py,sha256=70qBaKw9pSoKmMk2p2arnZNcjndB3grPVCxy0PN9cDM,190735
statsmodels/tsa/statespace/exponential_smoothing.py,sha256=Ke5gPCjg_Par1jfr_4HP_dshHS1FOT_KoKWcNt6hSJ8,31836
statsmodels/tsa/statespace/initialization.py,sha256=Wpor0f2aTMPAqZ-x4281eBds8tP1uS3_moRtwdNrgzY,27572
statsmodels/tsa/statespace/kalman_filter.py,sha256=UW4tGiMDzO8GTH0baf8CwNHv8W8U3-5lg-BOkAVCIy0,99957
statsmodels/tsa/statespace/kalman_smoother.py,sha256=DuHD0DMnUJkH6ADNr_hql-fNr2oeKaKnKppboUqng8g,65913
statsmodels/tsa/statespace/mlemodel.py,sha256=f70290bIlXsYgfGLDTUewC4MjCoN31AT0jLnwFOaeJ4,204265
statsmodels/tsa/statespace/news.py,sha256=foB6p_GGLWzFqFUSOjjZWj63vjq0y-IqiSekAR6hNVY,50400
statsmodels/tsa/statespace/representation.py,sha256=0tEYifDqe5cnERGouYjNMYTjnthnbMoVxCtVfe4OjVc,45989
statsmodels/tsa/statespace/sarimax.py,sha256=B6JlUcO-A_GEvlJvtTkUNbIYVFyZgAxmlr7J6EUw8wg,86384
statsmodels/tsa/statespace/simulation_smoother.py,sha256=XUUA8PH_XYtFIdm1gz6lfL6JTgkvhyVG3gScxBi7yUs,23787
statsmodels/tsa/statespace/structural.py,sha256=9UvnQJ_4GRZzfEI99Q0V5-pDTkT542O02-14BV_dr04,81028
statsmodels/tsa/statespace/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/statespace/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/kfas_helpers.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_cfa_simulation_smoothing.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_cfa_tvpvar.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_chandrasekhar.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_collapsed.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_concentrated.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_conserve_memory.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_dynamic_factor.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_dynamic_factor_mq.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_dynamic_factor_mq_frbny_nowcast.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_dynamic_factor_mq_monte_carlo.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_exact_diffuse_filtering.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_exponential_smoothing.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_fixed_params.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_forecasting.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_impulse_responses.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_initialization.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_kalman.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_mlemodel.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_models.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_multivariate_switch_univariate.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_news.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_options.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_pickle.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_prediction.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_representation.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_sarimax.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_save.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_simulate.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_simulation_smoothing.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_smoothing.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_structural.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_tools.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_univariate.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_var.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/__pycache__/test_varmax.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/kfas_helpers.py,sha256=GvqHDnQRUM6VYRHM_onoASWXhRHFxo_igshps8WZnLo,3775
statsmodels/tsa/statespace/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/statespace/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/results/__pycache__/results_dynamic_factor.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/results/__pycache__/results_kalman_filter.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/results/__pycache__/results_sarimax.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/results/__pycache__/results_structural.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/results/__pycache__/results_var_R.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/results/__pycache__/results_var_misc.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/results/__pycache__/results_varmax.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Omega_11.csv,sha256=krYOFtYUQI8p5osj1t2DZ0ILts9Ms-6OLa0Yt29nDhc,96
statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Omega_22.csv,sha256=2x_4ro_tOgvK2x9O2NJOyU4bJxOwNRe-1PIMRmNtM1E,184
statsmodels/tsa/statespace/tests/results/cfa_tvpvar_S10.csv,sha256=5FONDvQX8c-6bCbLnWKXf5eD7fR6c1YWpRDtdnHuAIk,97
statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Si0.csv,sha256=CacybcXOm8izp39R0UwJU4rO41kxsbNM_7pzfSrrdQM,172
statsmodels/tsa/statespace/tests/results/cfa_tvpvar_beta.csv,sha256=vsS8kd5r3Bq6vTG6CFWpICzpDi2AXPkYtVjnRLskKNo,1408
statsmodels/tsa/statespace/tests/results/cfa_tvpvar_invP.csv,sha256=VgFtc4_r0tSKzvPNZYUNZRxxgtlyDvaTdjSfL_QRTIk,24167
statsmodels/tsa/statespace/tests/results/cfa_tvpvar_posterior_mean.csv,sha256=zfMY0tOv-eHnQGrDfzdCB_7S1B4JmYDCj-lMksdJp38,1392
statsmodels/tsa/statespace/tests/results/cfa_tvpvar_state_variates.csv,sha256=Boj0nh4QYbAMxu2Re7Edy-45ASiS4CdGZrM0ZOKSdxY,1415
statsmodels/tsa/statespace/tests/results/cfa_tvpvar_v10.csv,sha256=Tkwx19TUSJaNhJYPmupMcZG20ZEPEgQtR0q1xYZSbMo,7
statsmodels/tsa/statespace/tests/results/cfa_tvpvar_vi0.csv,sha256=SQqM5FMTDF2NSS-d7hRjCuwH5qokRHYpyr8HqwCIqFA,5
statsmodels/tsa/statespace/tests/results/clark1989.csv,sha256=QywqQ17X8DLThJA3-D4aPKVW7-bHIg1nxKtLAe7s-9Q,4628
statsmodels/tsa/statespace/tests/results/exponential_smoothing_params.csv,sha256=EsXRnCHqe0KtOEzHzlRBlfYNzfC3QqNPYQugXWZ9Ads,1789
statsmodels/tsa/statespace/tests/results/exponential_smoothing_predict.csv,sha256=ls8-wbKGIaeIdbJll8nGBO-sXUH8tX2jx0fsQLeRoR4,11592
statsmodels/tsa/statespace/tests/results/exponential_smoothing_states.csv,sha256=rsCN9RDWffiVTsmeJPVMNhr95o_j6HdTZU7rUNBVGpA,13376
statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/2016-06-29.csv,sha256=c523_hY5tRGhegT26ubqJr2b24frsE0rhKls-Y6YPuE,59068
statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/2016-07-29.csv,sha256=U9ghj_oNqlZPJOMDNkUzvpII_NhMpGeBYY0NeCGamD8,59228
statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/results/frbny_nowcast/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/statespace/tests/results/frbny_nowcast/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_111.mat,sha256=bbmFp738mAr1QikZson0ZvGgXdkInk4nrqHDmKxshco,11477
statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_112.mat,sha256=LucPsDOBuWcBubngpobaxtT0PjVtgRcPBnJf7YjwHSw,11486
statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_11F.mat,sha256=l4N0TD_yuZwnaJMwsnsEZEefVnCMOaOdUQF7kYg66Gg,11522
statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_221.mat,sha256=qqTCHR36F6tijaimRNBAnEc4zJ2TlruxET8G347-nWw,12548
statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_222.mat,sha256=vZlZ4YT4GUSQcpWT3XQTSikPwGHSycHVDE8GCBJHDZM,12557
statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_22F.mat,sha256=Fo_4bmGM0pnHF5fRyO_OsqvsTQ74f1QDrG-NgvCsZQw,12685
statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_111.mat,sha256=POTDaVOOhGQc0DX4qDUBAPP2OF4oX8KxUDeqRshMb9c,20685
statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_112.mat,sha256=5MTbAcUVk9ZR2EPwQwvuOlSA7mOJ8la6w2O5SLgyMmg,20700
statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_221.mat,sha256=FYyqZPADI6KMKjAvDis9XMQq6U0fBLVp5HLXd1-vWC4,30747
statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_222.mat,sha256=0i8PXJ_4dqWIoTm2vqzOr1YT67Tb9xNT-qtVNkk4SBQ,30790
statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_112.mat,sha256=TKZKit__SN-9FCdYxT4mkV4qdkBUd9wjoABEBinHoIY,11723
statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_222.mat,sha256=ItqDdynAQwBhJQTtRRiGjZusbcp1xxEqYiLHX2F1FCs,12782
statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_blocks_112.mat,sha256=f8Z8OQASO6b0vl5nbumBRkP37_-Ed1XZSuF7H51_k-c,20915
statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_blocks_222.mat,sha256=W9GuQ3hefgj3PCZjhR1rywdNY_lgz1cbCDrdyXW6Y7o,31025
statsmodels/tsa/statespace/tests/results/manufac.dta,sha256=1e6VE2SMYdontWCwqua_Ipr1R5vb1i6Sa63jS6vtPwU,19146
statsmodels/tsa/statespace/tests/results/results_clark1989_R.csv,sha256=ImNQNsKpziZTY6iyNIct32KQsp7qEuH7V3YlDnvTtwE,25812
statsmodels/tsa/statespace/tests/results/results_dynamic_factor.py,sha256=dXV840AfiEFwdNN0zBS9HPKfVw25jSSMRDTWaY64Nsc,6983
statsmodels/tsa/statespace/tests/results/results_dynamic_factor_stata.csv,sha256=Ujz1hwEYfU1yB9_7obEqXU0xnxiK_8vlJVGcFr9igSs,43359
statsmodels/tsa/statespace/tests/results/results_exact_initial_common_level_R.csv,sha256=EV2uGTPFyUsEOYb4aF9MjC3bH9qh5ewrITa_R_I17zY,5313
statsmodels/tsa/statespace/tests/results/results_exact_initial_common_level_restricted_R.csv,sha256=s4sCAimLMt5OTVbEHPZLdtVpRYaoy9frphr6Kf1ltyE,4723
statsmodels/tsa/statespace/tests/results/results_exact_initial_dfm_R.csv,sha256=ZF2h9cN88xu4lTiUpkdv7q3n3m2diugQQNZQ79UYnx4,17462
statsmodels/tsa/statespace/tests/results/results_exact_initial_local_level_R.csv,sha256=b6qBMyesakEcPdA_G69iZf2ApGEjyPV5beQFyt90A34,3473
statsmodels/tsa/statespace/tests/results/results_exact_initial_local_linear_trend_R.csv,sha256=_Png0Mc4JeJHHSgkYKbrPHAK0wF7odfIQDNisN2pv9Y,4308
statsmodels/tsa/statespace/tests/results/results_exact_initial_local_linear_trend_missing_R.csv,sha256=2MSVHXouWZFRTWHdPDa1De8MeAOi1ZOMoqnJUYyu8Ic,4262
statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_R.csv,sha256=ujGX1sFSun2wbyRcV8uavL_O2mRMCbIo1ik1L_uTM5A,9665
statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_measurement_error_R.csv,sha256=Iksva7w8vwIzh_gvbfBRJ-20KQjUvZufArx7Wiw4JNQ,19115
statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_missing_R.csv,sha256=810CoEXhhWFyPBvD4eHWpzUbhOpEE3xv7f24DDwtTvU,12785
statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_mixed_R.csv,sha256=andsAXJggKy4GDv-zozBz-Q3A8lgbu_NEXNJNhgTxYk,9743
statsmodels/tsa/statespace/tests/results/results_intercepts_R.csv,sha256=-rD4iUDoJ3JNcmI_4DE0kF5xNjTYJ9JMA5yr0-J7KVE,120264
statsmodels/tsa/statespace/tests/results/results_kalman_filter.py,sha256=ajS5EKLtQWbdyMhfxzirrrZOxLmrAd_xhyOLmPka_xg,42307
statsmodels/tsa/statespace/tests/results/results_realgdpar_stata.csv,sha256=5naq8Nelru9TDgnD-wouY8PQl-3NHGfSSbG24Og1W1M,62891
statsmodels/tsa/statespace/tests/results/results_sarimax.py,sha256=1HW28RxVsEV-7fiEpeI6IgYLMNrnhfhnmmm8vYcVnNc,14099
statsmodels/tsa/statespace/tests/results/results_sarimax_coverage.csv,sha256=dLfERFAt0WKdtP9QmeIjCZAnt75t0kkGBHoLsCC1LUs,6321
statsmodels/tsa/statespace/tests/results/results_simulation_smoothing0.csv,sha256=fw81vBuHc_plx8x_gJG1TBfNH8Y4zvl9dJwPZ7IdJBU,2205
statsmodels/tsa/statespace/tests/results/results_simulation_smoothing1.csv,sha256=PlSC27yb7MvHzFBZbM4hhte0V4z3ex7dwP5LZL6HV6E,2220
statsmodels/tsa/statespace/tests/results/results_simulation_smoothing2.csv,sha256=sOQs9nAGislak-hPwh23Atst9vqYOdHiZTgB8SuZl-Q,2252
statsmodels/tsa/statespace/tests/results/results_simulation_smoothing3.csv,sha256=zblvsKfiy8P7KSPN-KEALC_UH7c3gdDmzwww535F2ys,48473
statsmodels/tsa/statespace/tests/results/results_simulation_smoothing3_variates.csv,sha256=YK7qNESf3xNKfI9eoP5xbnWuEnhG_6sBDywYE514oqs,23338
statsmodels/tsa/statespace/tests/results/results_simulation_smoothing4.csv,sha256=Tz0cvIjvWHSDkmpN8v4heg7KC0JxoorjA3ie-3pOzpo,48675
statsmodels/tsa/statespace/tests/results/results_simulation_smoothing5.csv,sha256=9FzfXLYCQb9l0IwFBO4KAeJC8N3pasjnWrzjedy8Bvw,47553
statsmodels/tsa/statespace/tests/results/results_simulation_smoothing6.csv,sha256=Vsgl8qxj_6xpXCKVDMYoZb6WFRpG7tdouDksghul1tA,44720
statsmodels/tsa/statespace/tests/results/results_smoothing2_R.csv,sha256=QnE-sjtJ6qhyCtEPf4QmjLWHs-S3rYik4qzcZJh22ro,144969
statsmodels/tsa/statespace/tests/results/results_smoothing3_R.csv,sha256=Y-EruUcs_F18UwCh2URs-cAtamKXJDHiKMP1TjeqJtk,32653
statsmodels/tsa/statespace/tests/results/results_smoothing_R.csv,sha256=khE35d0yiQ6zQSmbRFksqv5XofhgqSbQsuh5c4BNT8Y,117428
statsmodels/tsa/statespace/tests/results/results_smoothing_generalobscov_R.csv,sha256=5Q8r2UBEyc7kdl3kLOxr-T1kMIRKUvR1L6Ru1OC0pkg,121746
statsmodels/tsa/statespace/tests/results/results_structural.py,sha256=WAGYIlJVpsKPMWKWj_5arZHjbvUWAxkc2tRbOGDZ1fs,9780
statsmodels/tsa/statespace/tests/results/results_var_R.py,sha256=OhOzbfw6vsWd2jdN6u8JHjkWY7jRXGbSQ4AKFKkE2QM,5737
statsmodels/tsa/statespace/tests/results/results_var_R_output.csv,sha256=wweWQOj8R8xayJuE-uUzTmVZIKBBDW-1jcpJqpPAVn8,68693
statsmodels/tsa/statespace/tests/results/results_var_misc.py,sha256=VNTDif5OCMyCmAEequC0LO_C4Ou7jkK1FkRX8K9KTJY,5822
statsmodels/tsa/statespace/tests/results/results_var_stata.csv,sha256=0PAKTerTbdJpoZtLTL-CzSlrDQ0ZSZfJBVjhBraICoc,24685
statsmodels/tsa/statespace/tests/results/results_varmax.py,sha256=wO0qvTiv9jjgJURSU0ZAAu2xQUwzOOYhKOxyNtIBPnw,8943
statsmodels/tsa/statespace/tests/results/results_varmax_stata.csv,sha256=M9hL-qtxbK0rhEErW5bwsu_h-PIA3s0KO_73skYrqVg,26514
statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_matlab_ssm.csv,sha256=9fBOnozx9oKmDjv6kLzq5aDbzDv7JxLIAXS3Cco4uHE,6376
statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_stata.csv,sha256=TlsIVJciqo29HYnCNNtS6s_IXjs-xcm6L-lTvQq-5Oo,14470
statsmodels/tsa/statespace/tests/results/results_wpi1_missing_ar3_matlab_ssm.csv,sha256=1n5u0t04sCcVxZlRfNClHg3bPZbXFf6jdVvwb6ScSVc,6722
statsmodels/tsa/statespace/tests/results/sm-0.9-sarimax.pkl,sha256=ZSQYFs-9nCBal_wiIsTbdlKsm76nQhkGsPwujyT2t8Q,6653
statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py,sha256=zmgIVqy_Q80vsRkfkUpaGG8R9eyX8cOc8rdQ2jwrw0g,7047
statsmodels/tsa/statespace/tests/test_cfa_tvpvar.py,sha256=Ol3DtU88RSwCExzDoFjqEk966qshyjcl6S0BnGOjubE,7760
statsmodels/tsa/statespace/tests/test_chandrasekhar.py,sha256=WeN70TPOceNCoA4-wqq96GIGUhrsGIIIH_35IvBCq7s,9087
statsmodels/tsa/statespace/tests/test_collapsed.py,sha256=Fo8tZexLtwli8GSbdT3S999THqahvXxZizsLmoeKTDU,27900
statsmodels/tsa/statespace/tests/test_concentrated.py,sha256=qBxbDE2dEoWHCtAAX0ugg7iW_Tcr9Th8tqSODXHGyFg,12129
statsmodels/tsa/statespace/tests/test_conserve_memory.py,sha256=rywU65jJMhQbHRb7QpTE4bR-dGwP2cPqJV9oQ6iP-Uc,13912
statsmodels/tsa/statespace/tests/test_dynamic_factor.py,sha256=8o2utywSmX1CfpR5EM9gv-rdRIpAS9balnBWCnJt4hU,39890
statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py,sha256=-ld0tWuo6Qr2A7Lo26FNzQncrMaw7E-ufl5xePLgsWo,85304
statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py,sha256=wBwdL6yelCLDzmonA4uffCzwkRbxdwBOsDlspGKKQgE,19333
statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py,sha256=WnkMQjk6daVSDMJaXXB1CGcJOYd0rlPc9pBHZeL89kk,24561
statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py,sha256=N8PgB8hYPILk0zVmI8VhkaM9wgq0W8wI5maC2BRAuy8,41631
statsmodels/tsa/statespace/tests/test_exponential_smoothing.py,sha256=O-lV_OBZmQM-byRaHCzZBvYchiBHVNRovmCmRWrebdc,36884
statsmodels/tsa/statespace/tests/test_fixed_params.py,sha256=PPhhhns4XSmIijAd_LBhz7DflZWa952WoRgFUHbeZ28,29718
statsmodels/tsa/statespace/tests/test_forecasting.py,sha256=MF2Cv0jlMSNITGKFbvqV2NBYkPS4BNHJJLHD7ENxAoo,1626
statsmodels/tsa/statespace/tests/test_impulse_responses.py,sha256=iQUieJa5iLJmOpiNcqH_IG7FxfHTtX9773Cb9xY8-Wk,27731
statsmodels/tsa/statespace/tests/test_initialization.py,sha256=rW3bro2J3GyjeYqG7OqUQl0AegcSEk23D5ePoewQtcQ,14212
statsmodels/tsa/statespace/tests/test_kalman.py,sha256=h2cTo9ZtnX8cATTLshYxSNmauVFm28rMrCGhEUN5_Jg,28102
statsmodels/tsa/statespace/tests/test_mlemodel.py,sha256=BiIF-RGfz70413LE5eUM3n8DQ9gGtCh20_qXqacjk3Q,48250
statsmodels/tsa/statespace/tests/test_models.py,sha256=DvPQmlnpG2VR7IkEgCrx_AxnGd_fMtE5tGaI-k_3q1s,11152
statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py,sha256=lj3dvhi6yTd24ay_oRlKLsiwUEHeRSUxhMTHAGoRjsM,19496
statsmodels/tsa/statespace/tests/test_news.py,sha256=gUEp5BP28gfOxNZ_Ne0OAJi_-oj-2Lpa8SUnrFlx2co,43033
statsmodels/tsa/statespace/tests/test_options.py,sha256=0X-Qtq75xiy52rbIApESztfpm02AaHYUW7Ca6Xcc8d0,9655
statsmodels/tsa/statespace/tests/test_pickle.py,sha256=QsXoU9dk7hA1ZzEGX1FXQqMXKCwXZ65TYbVegjxYEXI,5261
statsmodels/tsa/statespace/tests/test_prediction.py,sha256=TC7KYO4nmx0l_9Q_Blhe1KBrldhdGDmRTXQIUFcj4vE,3252
statsmodels/tsa/statespace/tests/test_representation.py,sha256=BLBzz6dWd7FhPmyydu_F8fFVJLr7orUo7d8dzAsxSu8,48582
statsmodels/tsa/statespace/tests/test_sarimax.py,sha256=64Hc9pwCsyQJiRhEYSveDbCOwxC3TPKug8E7vPu4EY8,108114
statsmodels/tsa/statespace/tests/test_save.py,sha256=bDd0i5iKE6FFEi4vcAvkGdyKTI--DrwKz2sH_hxyybA,5043
statsmodels/tsa/statespace/tests/test_simulate.py,sha256=iDK4vn9_4VhVHiiZceEnTfPp8O3U_hVIfg6afdcICjY,73214
statsmodels/tsa/statespace/tests/test_simulation_smoothing.py,sha256=u495qBh60qrESYsxW62pMx0maWRmsTDrsh-3ZJJG8ac,28855
statsmodels/tsa/statespace/tests/test_smoothing.py,sha256=wLJqLHro11TfTU5lte77rujdopRLrgj7GLq13XUBR5M,63518
statsmodels/tsa/statespace/tests/test_structural.py,sha256=Vhf58t_PM3yqGQgKXNrJ3tkD3Z1gwuYLBkMGgBIs-6k,26702
statsmodels/tsa/statespace/tests/test_tools.py,sha256=4CaYlrexJlEG_0A5skW_cKQTvnvx5tIRk2riBPjRXs8,31412
statsmodels/tsa/statespace/tests/test_univariate.py,sha256=3hrwGXjJMuONVBeHo65cB9-SeNsL0yodLH5GhJDCtxY,27928
statsmodels/tsa/statespace/tests/test_var.py,sha256=-R8nVUsOSzFe4R0lux56JpdPEtflfpXla-zJynRrvD0,8752
statsmodels/tsa/statespace/tests/test_varmax.py,sha256=70oZyrKu8ALhE8gD8Iw3SQRv5YrkzjEWKKWg9VZn-2s,50839
statsmodels/tsa/statespace/tools.py,sha256=budRBvhkzbwlxmKW-5VWaY-0z46ReRN5Kieg36kpgxY,68168
statsmodels/tsa/statespace/varmax.py,sha256=PuavpSjYIcOSVBD2qNXUdnOe5FrnSKyuIdfoaFdgYEQ,51234
statsmodels/tsa/stattools.py,sha256=v7aWV4kHBENtJUq7EzoVKbdbGGXSZtwWEj1i2hcLaFk,95011
statsmodels/tsa/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/tests/__pycache__/test_adfuller_lag.cpython-39.pyc,,
statsmodels/tsa/tests/__pycache__/test_ar.cpython-39.pyc,,
statsmodels/tsa/tests/__pycache__/test_arima_process.cpython-39.pyc,,
statsmodels/tsa/tests/__pycache__/test_bds.cpython-39.pyc,,
statsmodels/tsa/tests/__pycache__/test_deterministic.cpython-39.pyc,,
statsmodels/tsa/tests/__pycache__/test_exponential_smoothing.cpython-39.pyc,,
statsmodels/tsa/tests/__pycache__/test_seasonal.cpython-39.pyc,,
statsmodels/tsa/tests/__pycache__/test_stattools.cpython-39.pyc,,
statsmodels/tsa/tests/__pycache__/test_stl.cpython-39.pyc,,
statsmodels/tsa/tests/__pycache__/test_tsa_tools.cpython-39.pyc,,
statsmodels/tsa/tests/__pycache__/test_x13.cpython-39.pyc,,
statsmodels/tsa/tests/results/ARMLEConstantPredict.csv,sha256=WZLhLTFLZK2xSwyLGmr97N6B1grYP10X0flr1H1Rdpk,5029
statsmodels/tsa/tests/results/AROLSConstantPredict.csv,sha256=2fHR3OKOKSzfJm16472ohF4lb2OzAVtyiJ-WwCc7zPI,22084
statsmodels/tsa/tests/results/AROLSNoConstantPredict.csv,sha256=YgwS8YLhBK_iKZswezQpE5ZN4A6N689L-R_pAUlVSf0,21383
statsmodels/tsa/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/arima111_css_results.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/arima111_results.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/arima111nc_css_results.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/arima111nc_results.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/arima112_css_results.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/arima112_results.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/arima112nc_css_results.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/arima112nc_results.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/arima211_css_results.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/arima211_results.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/arima211nc_css_results.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/arima211nc_results.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/datamlw_tls.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/make_arma.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/results_ar.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/results_arima.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/results_arma.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/results_arma_acf.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/results_process.cpython-39.pyc,,
statsmodels/tsa/tests/results/__pycache__/savedrvs.cpython-39.pyc,,
statsmodels/tsa/tests/results/arima111_css_results.py,sha256=MXWzTEWLnhv4kuzE3zpejCnctZCWDe9RVjPu1NVaLKU,28278
statsmodels/tsa/tests/results/arima111_forecasts.csv,sha256=42iWT-ZPRwTKbDuJuVLIV8-GQeXg0Yih8xAK9-u1nWs,6809
statsmodels/tsa/tests/results/arima111_results.py,sha256=janGR1SP8ncl-2pcwTybWJHD-FxBi1Z7NeiatmEKu5g,28268
statsmodels/tsa/tests/results/arima111nc_css_results.py,sha256=cc1WF_BXPfxiV5dePRS5gvwxgMt5xamo95EqZDeO2bw,27997
statsmodels/tsa/tests/results/arima111nc_results.py,sha256=X1n_tzaudW9NZEPobrtP-ETs0tRkTQDqfjdRVdodklI,28000
statsmodels/tsa/tests/results/arima112_css_results.py,sha256=uYAHNV61GI9y4DzkS7tJ95NfFYiwGYY4ibnJBo4AmBA,28489
statsmodels/tsa/tests/results/arima112_results.py,sha256=MTtzQK6lNOoPEak-920LkbJqYm0inElydBZCdDdPiOk,28491
statsmodels/tsa/tests/results/arima112nc_css_results.py,sha256=omlvyHdWgx051n2KLWil-wnHB0WsdgDY_gA3QJMj7os,28039
statsmodels/tsa/tests/results/arima112nc_results.py,sha256=9GNzjdUCmFS0q2Y0j-i6am43sA_RYU5sa8MwGAEZCJk,23716
statsmodels/tsa/tests/results/arima211_css_results.py,sha256=rXXPAgE278lph3FYYuawt_Bt0srPxgKLKTiXUfXymMw,28479
statsmodels/tsa/tests/results/arima211_results.py,sha256=nGS48GTNSf2nbTpWM1gFdSfYfTxY_ALS_wz4cTCqY28,28472
statsmodels/tsa/tests/results/arima211nc_css_results.py,sha256=zncASuvjAClJErOvGGpKe6bPzFfisHMgI2pbjWzuaOw,28167
statsmodels/tsa/tests/results/arima211nc_results.py,sha256=ptyLQdhEYRKwJPO8Soi2Hq1uIph2lpalK0X81elVxm8,23717
statsmodels/tsa/tests/results/arima212_forecast.csv,sha256=77Z_csY8pFMdFmb9fHpVZmbPpLUQM3hviBcUXyalgpI,6509
statsmodels/tsa/tests/results/bds_data.csv,sha256=5FB-UQcCWEZitWROTErLC5Nh7EkSU7RgfHqJInL4Rsc,4236
statsmodels/tsa/tests/results/bds_results.csv,sha256=nWAEMmV4aI3gwLn5BKGA093X9qvtsZdC7WLJ1y75w08,1485
statsmodels/tsa/tests/results/datamlw_tls.py,sha256=9HdxbECGjQODD42JbqYQnDWRHOQ8qxtkZmM35ml3eME,6939
statsmodels/tsa/tests/results/fit_ets_results.json,sha256=HGbP_KjQFUAa6l5s744M-nctD1A-_nyJVRDOEWGpmAc,119955
statsmodels/tsa/tests/results/fit_ets_results_nonseasonal.json,sha256=uO0NZVcjYbUrC-WPvouUi-I_12gF51e2GAWaIm1uRrI,26804
statsmodels/tsa/tests/results/fit_ets_results_seasonal.json,sha256=aeKZ4nTqXtbeJEH-uTxv0QvetLHuOrqaL7iRiaJKdF8,86559
statsmodels/tsa/tests/results/gnpdef.csv,sha256=Og2N6jv1HvyMvFsjcu4eNGQ7rGQNBn3GpAtqBHKDbeE,1069
statsmodels/tsa/tests/results/lutkepohl2.dta,sha256=cBGaDynLKWOUmikCn7bm9egv4yFu7cW8TNQIYUqyTyw,6000
statsmodels/tsa/tests/results/make_arma.py,sha256=Yz6uqEQzUC72CzUmgDOkyLpeVci544u_OG2WnEhDk6w,1923
statsmodels/tsa/tests/results/rand10000.csv,sha256=0ksCLY2N1KOau5nRW8nv3LPPdZ2jozPJslnJ0tLFXmw,133713
statsmodels/tsa/tests/results/resids_css_c.csv,sha256=Ow939hHpod2Ux2Y58MMpok5OoSx-bleeMhQo4K7gOdI,20403
statsmodels/tsa/tests/results/resids_css_nc.csv,sha256=V-09gSJ7j_r1jWyjM9OrHaF3dUUlaG_2sNWeDfPjIUQ,20414
statsmodels/tsa/tests/results/resids_exact_c.csv,sha256=I_WKOWzZqAq3wuRoR_Rvsac3BSpu6LtiYmf_LsyTmDE,20538
statsmodels/tsa/tests/results/resids_exact_nc.csv,sha256=88IOFpDPwPKFhP719aFi3kHPYQP86Lv7vX8ZGIDGYes,20557
statsmodels/tsa/tests/results/results_ar.py,sha256=R9bLCK7nEXcEuWI105cwUOd3kVIxMm4L6X3k9MnCabk,9579
statsmodels/tsa/tests/results/results_ar_forecast_mle_dynamic.csv,sha256=yYNmcZWPshp4ChK_b9wveiJkgFwv0gYf2HduLXO5usM,10857
statsmodels/tsa/tests/results/results_arima.py,sha256=DaJfETDFOlx6sNl-qwwfszoEskKq4ePTr__JtLcpfts,23832
statsmodels/tsa/tests/results/results_arima_exog_forecasts_css.csv,sha256=hj7tTcOvG36-Sy9bELYzEglrv_zyFD_DZD-eIOmrvcY,4497
statsmodels/tsa/tests/results/results_arima_exog_forecasts_mle.csv,sha256=N6jOruK-wP_ZL7QMtpUdiEtoKQx6XdzTVEZlWlms4IQ,4762
statsmodels/tsa/tests/results/results_arima_forecasts.csv,sha256=N9detebCcxriQPkyqOEwH25Itz-Ni9o6ExOh0EeEjnc,23814
statsmodels/tsa/tests/results/results_arima_forecasts_all_css.csv,sha256=U_eX8Cwpg3w08uh_tnUgmBvtATRBY3TIAkM-dSe2S98,15307
statsmodels/tsa/tests/results/results_arima_forecasts_all_css_diff.csv,sha256=p_NiKxNLWLUQ4TQ-tAQGMhWYkswHhE5fJ2WwzxbvkS8,14456
statsmodels/tsa/tests/results/results_arima_forecasts_all_mle.csv,sha256=prYnw1fRwls0DImt_SGpUIQAL7x0GqukLQdqIxyc1uo,14242
statsmodels/tsa/tests/results/results_arima_forecasts_all_mle_diff.csv,sha256=gXHmDJEDL1MT7iJeqIBOW2fIZ63vX61iPAzoUKG-o1k,15707
statsmodels/tsa/tests/results/results_arma.py,sha256=BqYsHioCV43-vU5qNF_FxfZxCbWZvshfTGhJwCzQ1IY,43331
statsmodels/tsa/tests/results/results_arma_acf.py,sha256=NmMNq3PnIxprmUp6NmupT6g66Ns1LFY-FfDgEkPR5Js,2054
statsmodels/tsa/tests/results/results_arma_forecasts.csv,sha256=XY-6Rf_NsudrTI-xt83y7xGwdHyOE42N44lJD3eNF4c,1325
statsmodels/tsa/tests/results/results_corrgram.csv,sha256=rsgGGCQpSAjaH_JOJioJX53NZ9trHvKCqudEVxEC3o8,3104
statsmodels/tsa/tests/results/results_process.py,sha256=RdQl5Pgyb1mXRvrkBSPmra1DX_5rPb3ES3jr0rBJbjs,1431
statsmodels/tsa/tests/results/rgnp.csv,sha256=Dq_YntXyW405DodiIpEYyOiIJ1it4Mz-14h0ZuKYy7g,806
statsmodels/tsa/tests/results/rgnpq.csv,sha256=k3mxXzVV5lXX5EA2hNR0e1xk2zVmGGSKxkL6GYPujsI,2063
statsmodels/tsa/tests/results/savedrvs.py,sha256=a_au9Xw7HO5rlT9i1xuAQFf1hZWL_dUQk2bSxGBjwns,19619
statsmodels/tsa/tests/results/stkprc.csv,sha256=7fCknv1gbYU-Rx0Sxf3-pzTFmj6szfAosw2GXtTvn6o,1308
statsmodels/tsa/tests/results/stl_co2.csv,sha256=fwaR1_GXdhLziqvKGIqw0mqzC3ETv93hXa0TdM7OJmI,2745
statsmodels/tsa/tests/results/stl_test_results.csv,sha256=KwMrMLIAEIhPEgH8dpxSibn70hgV-_yJ1rplu1E9uLw,265450
statsmodels/tsa/tests/results/y_arma_data.csv,sha256=Q4FCU2ExuyL7rA4qCIBVp5bao8kjhSId1Q1LKVC7Y6E,76402
statsmodels/tsa/tests/results/yhat_css_c.csv,sha256=G51I8w7f0wrd7ULn8vZX8j1AJbguZvsq9VAoN_cWpSQ,19817
statsmodels/tsa/tests/results/yhat_css_nc.csv,sha256=bAQsH6FIVYGipe0_V23S7P8D2ozKRfjNPmP2x8zQvx8,20524
statsmodels/tsa/tests/results/yhat_exact_c.csv,sha256=fQOqyoJlwMzUqNqkxOImAnYca-V_psERnWQZwgQss1o,19946
statsmodels/tsa/tests/results/yhat_exact_nc.csv,sha256=yAfIBBAoUV1c6wxk2frhYIWcB8GtqOCCYccezhGmqG0,20664
statsmodels/tsa/tests/test_adfuller_lag.py,sha256=iQMv_1GbQr5EHpHITh8nqx-xaEM6WU3OmJo1k7hUtmU,1970
statsmodels/tsa/tests/test_ar.py,sha256=PxM7vOYGWFe9clFuct-CUo-Kifmzm-Ks3UBXRHDwvvs,38313
statsmodels/tsa/tests/test_arima_process.py,sha256=34iC8_8GWZMgrpy_g4ykl1L7A7pH1Dm2OOgjbqgsEgk,15994
statsmodels/tsa/tests/test_bds.py,sha256=UYXnFd4HBm6Q07LrErWnL_Ymp_rTpbOfT2Tzyz7dMEs,2824
statsmodels/tsa/tests/test_deterministic.py,sha256=FzYD1B4gNMO20AwRPpMs_sxv4Mlyp14K39HFX8z1PRs,23871
statsmodels/tsa/tests/test_exponential_smoothing.py,sha256=HMYUseUCuz44rLZ5qO64prRjzdjk8lqm5w49QNcfhto,32981
statsmodels/tsa/tests/test_seasonal.py,sha256=6VeLSlvWh7lLk7H3hUh4KhOsVuIXiPr7O6AdPBDuWbA,16156
statsmodels/tsa/tests/test_stattools.py,sha256=Vl7sQHx7kX5vTobV2euas2MkDdkGALrGycopgKvktwI,50391
statsmodels/tsa/tests/test_stl.py,sha256=1wGCfWGqTsvbDw02fEmLec2Ox3lu5i2AzBoiU5j9H2c,11465
statsmodels/tsa/tests/test_tsa_tools.py,sha256=7fUEvok1jLYw_f5TcBtLlgDtLQyCBCjpC3OmsFYOi18,28589
statsmodels/tsa/tests/test_x13.py,sha256=1HBefqsrbwWeCZpra5_EmrpfnXPx_vunDlJ5foWXIto,1554
statsmodels/tsa/tsatools.py,sha256=fPqiKg24pNEygx2FshfddFRM6RTjF5f2zGM_smKV6Lk,23783
statsmodels/tsa/varma_process.py,sha256=fkE9NYXPZIRcShld9Ke1vicPaQr8VZvPYiOL7ugX8sk,20451
statsmodels/tsa/vector_ar/__init__.py,sha256=fyFrwazv_5EgkuTCRuCWji7rMQcGIn5u8XR8StUm3rg,78
statsmodels/tsa/vector_ar/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/vector_ar/__pycache__/api.cpython-39.pyc,,
statsmodels/tsa/vector_ar/__pycache__/hypothesis_test_results.cpython-39.pyc,,
statsmodels/tsa/vector_ar/__pycache__/irf.cpython-39.pyc,,
statsmodels/tsa/vector_ar/__pycache__/output.cpython-39.pyc,,
statsmodels/tsa/vector_ar/__pycache__/plotting.cpython-39.pyc,,
statsmodels/tsa/vector_ar/__pycache__/svar_model.cpython-39.pyc,,
statsmodels/tsa/vector_ar/__pycache__/util.cpython-39.pyc,,
statsmodels/tsa/vector_ar/__pycache__/var_model.cpython-39.pyc,,
statsmodels/tsa/vector_ar/__pycache__/vecm.cpython-39.pyc,,
statsmodels/tsa/vector_ar/api.py,sha256=Dabns7Ie7TuT6qDP5I7s9_cMSnQOmmYzewGqjIo9WEY,87
statsmodels/tsa/vector_ar/hypothesis_test_results.py,sha256=VR9NOCy2k34zcScbpFlyLdgieOGM0IXGK7NDPNlOKbQ,7619
statsmodels/tsa/vector_ar/irf.py,sha256=75JH49EiJqWggq2GFWibghpAg9KDeGpQtG8P1KQbeWc,25116
statsmodels/tsa/vector_ar/output.py,sha256=aDxCZ0t5kUP9Sek2UoWfO6MtJyIN8ZtNEmv_gD54QP4,7193
statsmodels/tsa/vector_ar/plotting.py,sha256=nZ0L4nBxaMVMNrIhFvrtV-fwZ7Iu68oU8deM1JxhYKI,7768
statsmodels/tsa/vector_ar/svar_model.py,sha256=nm8tKBCozO46aF3Q3LmU1zfpb55JsUn1Szn2PJq1GA4,23031
statsmodels/tsa/vector_ar/tests/JMulTi_results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/vector_ar/tests/JMulTi_results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/vector_ar/tests/JMulTi_results/__pycache__/parse_jmulti_var_output.cpython-39.pyc,,
statsmodels/tsa/vector_ar/tests/JMulTi_results/__pycache__/parse_jmulti_vecm_output.cpython-39.pyc,,
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c.txt,sha256=yLa24_ThJd2YAPkb4XpyHY3738SjKQ7A2kDiziflcyc,3589
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_Sigmau.txt,sha256=ia1Lwk7lVEOCcIDwTZQczeUJ0aHqYCA55T1VsnOX4Ls,665
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_diag.txt,sha256=rBcWHcuGHU_ilyjeFL-FadlRjwF-DrjwZybvirbQne8,2312
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_fc5.txt,sha256=KnpQG_0_d6T7-pi0oygMGdRocra1ahDlFyaCJveVEP0,1523
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons.txt,sha256=mHb4lQPIsuw5NyNE4Wkr0r5zgR0cu7ZDjb0_Yuw2mKM,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons_realgdp.txt,sha256=Jlxa9CW8WL8JTbYutgVD4sKjIJ06F4PMTStIxM2fC9o,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons_realinv.txt,sha256=gd5uTrc5hftqZXWf3QJXZrgjQg__4Lx94euWLTGJLvw,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realgdp.txt,sha256=zPUFlwEAXnH7tSu_0vG9LG3AjIN1tWPL0DKKVs67I_0,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realgdp_realinv.txt,sha256=rJfkHuUday016aH-s3hGb_ZXjHvwC_4itBJ_EeASk54,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realinv.txt,sha256=0jFVu3i0U9O3NRmRBP22hwYNk6KB7pnLKeWqUQNfEFs,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_ir.txt,sha256=umN_fDRulQcvsplePC5l0dI2Nu_cgAvHCEajLFMzMX8,4768
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_lagorder.txt,sha256=H6Z1ZpF84bWMLBCPwl_Vnabdvb1f96G9F_sGJxzs-hg,457
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs.txt,sha256=n_5U41soYc69joWErxWMrU9Rxg98VrTgTARFWAgXFrQ,4102
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_Sigmau.txt,sha256=Yz1P_Lg7tg0AvuF0DD8C_cRyXh7NLcMaUA29SM2DX5E,665
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_diag.txt,sha256=bYPOpo8L54qaRsbUPtorc_h8VBiLv8bokr7jKnfDMdU,2312
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_fc5.txt,sha256=loxjIC6LEPPYRl8qMndrJPGBUHjrrrFKm572IHLAjag,1523
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons.txt,sha256=b_HjLVyH-p4mmFkj1dGO92_6EPKmYcMgb2N3c0go6gE,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons_realgdp.txt,sha256=RsyhtWrQn41N1RSlwzB8A1fDJfJcffRqL7JxF-Abg9U,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons_realinv.txt,sha256=lIS4nLOCOr_iNrIZNHyfyCsxrtjtPs9_FrHff58YbOw,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realgdp.txt,sha256=RRpbo0jN44SrYjm7zi9MgY5OF4btipCn2oHPK-wTS6A,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realgdp_realinv.txt,sha256=GYaox6cNwPM9pydU_qwl3YX_kdgFVqOaivwbIk2-OwM,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realinv.txt,sha256=gJCKzsBjEHeYW0trWkcO2p5IUmM6GeMJ-e24uNPO0h8,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_ir.txt,sha256=Sla8axDYgndQeSFEAHiMZEuzSFg53NMVPlxA67jWHJw,4768
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_lagorder.txt,sha256=7WzaQKpVMqwx6fup6QYwVCu4WHG0WSpFxCqs3g-VVgU,466
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst.txt,sha256=PoGg8MyLqpCL9DmzOImgrR6Hfv2jT2eWERBiBBk_v2I,4276
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_Sigmau.txt,sha256=Gkj8b6Fy6ogYQuUMyMY6kRtT0NMCBnW1VB2_2MqAL4E,665
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_diag.txt,sha256=PFBEcIHObQx6bobeeYwoZsGrasFvBya0OZxcD5tbD0A,2312
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_fc5.txt,sha256=NjxCgMhHmg2lIfQWnjcxVt6RsbSY_qBGQUJNW_LfeMg,1523
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons.txt,sha256=QJrCHTKgzI8IWnH2eiygDF0S2GmOvEST9OMG806eMz4,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons_realgdp.txt,sha256=q6HYd6SnxvxsvhugQ6Ldr5HLoFyAfnciHgSvfqcUCZI,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons_realinv.txt,sha256=oljfFRpbdys5CTutO4Z0rrICP00XVk_R6RhDpgdLTAE,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realgdp.txt,sha256=OWGQiKiKbyoCYYnoMc-H3iAtTQs7aoTFkaLno19nKHM,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realgdp_realinv.txt,sha256=KUnQ9pQu57b3HKeFTH0zv5MMbAqF9qODFH8rChiyU5E,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realinv.txt,sha256=w-vIpdIbsM5ZxStYxTOLNmF8_sYGR_qIGsYSaEZaFYs,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_ir.txt,sha256=uDisxFs8tw0TMGgKuCTV3paDREOxdc3xCRD2js8ZWHk,4768
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_lagorder.txt,sha256=HMBLTgMjSwaB7e_kHp_BCg_eSTHRH2fEbmMIsDhNKIg,472
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct.txt,sha256=vvQxdwkRCYf9OATHhhoex4D74M4GAtwwnn-52ESpnxE,3763
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_Sigmau.txt,sha256=Qxg6Iz1epfZaogpUwgUNif7tc5-Oc1JD3Uq0bAjMPDU,665
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_diag.txt,sha256=GJuNVWyHhGF4kZwZJy-R4NGqJfirbcydSW829eGC-YY,2312
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_fc5.txt,sha256=-CyPngwxgae4AWOMCubbuz_PhksfwaZipbgXMNhJdxM,1523
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons.txt,sha256=0bREPfZ1XMSh4X4G36uY5x7lttBa4BORW_2HmbAA9O0,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons_realgdp.txt,sha256=D43KViQPmAjngnFLXgqB0gEFBd5GIs57xocWUf65GUE,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons_realinv.txt,sha256=SWmoKPqnxs61oZrRi5h0ETMQ6KC4pG77KcFq4yUaxAY,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realgdp.txt,sha256=ZxSFYqh2m7KngETmwkaqWLk81c-6X9DYkOy1EFxDoMg,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realgdp_realinv.txt,sha256=hM6lVnWzkV1I12tc83YZwYO65nTy6W998CMy3w1xrQA,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realinv.txt,sha256=WDWa2CoTa3S2OxFlZx_WnHVcFosLko5_B4cLad17FiA,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_ir.txt,sha256=d4l3xrVm6ADVkREAXpj2zAZ3ZFeJ8_fZuP_U9oiETow,4768
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_lagorder.txt,sha256=Ly0UI2Nj_2ttXJCqBDt9Nwaek243hblkwCXuP0hBWHg,463
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc.txt,sha256=WhmbeqVS2Mm0hN5D2ev66UAWYWeQWGMGbWccU05yK7U,3250
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_Sigmau.txt,sha256=qLsTWox9GEudS0rjQUk5FRDfoYA5MfT0bJ9_hRZd6IM,665
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_diag.txt,sha256=8Xahr1BLGNy34lPX9Dl-8oCH0a4GXI2worTX6rCGodg,2312
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_fc5.txt,sha256=7owxvX0RL_jVZOrE17BGuqiSkaED2mFK6HBEdoXQtk0,1523
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons.txt,sha256=vK6-OhyeWIKK5_DOy1Xt4U3AbgerMVKEaaNb-iPNSj0,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons_realgdp.txt,sha256=rio41v2cMdy-0wVakUDFT9MChwMmy2_5C-FWuPZHjjI,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons_realinv.txt,sha256=LGgFMukW5rZJDbdnAJy_JD9IUZYqjhs5YCDVOYL5IiQ,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realgdp.txt,sha256=LpHrXLdB3nOizcFY3gfSoCuzWfcuIG2RtMvU0ajbUAo,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realgdp_realinv.txt,sha256=Npk82ivmHR3TRSe8KpaY9pK3kBqjuHzrxv0EefMifD0,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realinv.txt,sha256=jdQAYqatsgE6IeCHLZTrFU4qQBIG7h0ukpCC1mwSydY,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_ir.txt,sha256=6zcP7_yF3z7Jlno6YU7zxg_ahq6ShICOVBB6ZWgwc6s,4768
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_lagorder.txt,sha256=oV0VD_XVFiFApx7OuJIGSTiKmk04uqPWVKiIIODjHbk,423
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs.txt,sha256=IvQMo_DuPyByNoJPojl5fieUUgAfXNlTiZLzOFoVjJ0,3928
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_Sigmau.txt,sha256=iJFA2r8EzzFUrD0MnvSfFioIeRSXc_5v0mtNC2OPPL4,665
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_diag.txt,sha256=zUVnsiNcJp8blGtPz3wTNvp_sd8sklhLdExFXyRoAf0,2312
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_fc5.txt,sha256=uvj4XxcRcTjns_eTNutw2TPZ6yJVce_X-MViqF28rio,1523
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons.txt,sha256=8IqCwWaOjkDE0zUTbNtI4bQmPEb0vDP9CW7cJA9totE,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons_realgdp.txt,sha256=gADV9d6YA7iZaK4ag_Z8cT3k9YNQMos-EliqxgHvcTk,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons_realinv.txt,sha256=jKDUAPgizwmeUQ_RdHXd6v_bTv29FM4bDjK63Fiv-5Y,350
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realgdp.txt,sha256=vKLEns_s7OJV1JopTCjKEYHzOYcfOuFRd5rOdG9V5NA,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realgdp_realinv.txt,sha256=Mxcfv5zLs5R9VWyk1geuhNQspuZjecx3kTnMhVSUS-4,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realinv.txt,sha256=3NS8Ixhf7dlamPqz9bA8Kwh5JauDdBNJO9TOlo_ha1g,349
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_ir.txt,sha256=blbujN9DyzOUezjUO6hms9ch5sGp3sj-JYqZtdifetY,4768
statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_lagorder.txt,sha256=zEECiOBfWwmFs0r6s-FSm8IsOBF1Nd8AxX9IoMusoh0,460
statsmodels/tsa/vector_ar/tests/JMulTi_results/parse_jmulti_var_output.py,sha256=MafJDvp6V3BL4xHwKYstXqAzx5lmGnNuFjvUl2NWYno,18403
statsmodels/tsa/vector_ar/tests/JMulTi_results/parse_jmulti_vecm_output.py,sha256=z1wLOk1b7k2TU7eCXvnW4D41Ze8X9Xuh_9xlZ-Xg8yM,24133
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci.txt,sha256=RWkGybNzbP_o43J0ZxxnVCErUU7byEIgSOJmfvCEkd0,3911
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_Sigmau.txt,sha256=ja7Veac8DX1WgtObNSheTudxdZGvIF0FAqTkw7o5iKU,385
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_diag.txt,sha256=ksZwtEn2luE-ouDLEaIGbUKvtDhzJ0dUvJeBOFGOyPo,1879
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_fc5.txt,sha256=Et-0cBtTxxrXAevb7HsW_6UVeRDQLOpTzp2UkxDoWoM,1091
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_granger_causality_dp_r.txt,sha256=WZcUTo4qiMgJ6pXcNKU419EanM9AU91d9KCLOHocn8Y,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_granger_causality_r_dp.txt,sha256=a5KXV4lHFlemWLzwplrDqOKPQxnq18Wk38ydLM-UlVQ,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_inst_causality_dp_r.txt,sha256=ImJq7vfeTliy8zJ9a9MYeONfk0UeDrI6THmQt5kmUy4,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_inst_causality_r_dp.txt,sha256=7Vnyv_XTHxIpxkzKoXymOpvKxu-ehPZ-4uWwWFDSdBA,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_ir.txt,sha256=8pSEyBYsL6lhxPWo0vZUGkIlPIWpYVG4K-zT0WzW6rQ,2470
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_lagorder.txt,sha256=6N2FnB2FcePYRaMwtGE81gpUsbnN4kRIBgOvvpw8RDs,445
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili.txt,sha256=xNmR1EPUNe-LMz8517y6NAMgGZHzD5EVi47LOAeQUAE,4220
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_Sigmau.txt,sha256=19OE4wXOXZxrCcMJl3s6BpjzlsBir9N_Rv4d-YWdlko,385
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_diag.txt,sha256=v28MYUk0cZbDxNt7zrtn0kB07Zkx5nJMoH2LVHt0zq8,1879
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_fc5.txt,sha256=mL9yaomQRYUxeIu-zFw1ne7RVjTJ9Hz8ursaEqihX10,1091
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_granger_causality_dp_r.txt,sha256=Xfi9J2DQqFXrDHP-W6_1Bbi2XJ4IztNtMeeaoszTVbo,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_granger_causality_r_dp.txt,sha256=teglOiEJTEbnD_YkBiwjuBhhTLhf7trYxoZpfq69OWE,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_inst_causality_dp_r.txt,sha256=EXPXqqDCPNy-jMKzFS0v_ieYMRn8AiLoVIcd_Cma7Lk,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_inst_causality_r_dp.txt,sha256=5SSP8So0U7v3egO40ONPyXCFkhVRj87EmnjhPy3g8Po,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_ir.txt,sha256=Bu_TTFGUFw6IylaTQ0P-TVU3BxnpXKcBWl2EX8Eet6A,2470
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_lagorder.txt,sha256=VKi5PhuM6L41AdzlGWMiWR9m86alTLRjsBnZmtqGp2s,451
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis.txt,sha256=MNbsldAA_uGJ7HxEOI93U2ADzWU0aJQrIKAm4NVKsq0,4824
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_Sigmau.txt,sha256=_qEOU-IIncsvkUbbRMiFxichIphJ07yriwZ0Xmmemuk,385
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_diag.txt,sha256=Akf6YevkN_c2YpW1UsGuJDEtbIQvzIRJOu06hjk18uI,1879
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_fc5.txt,sha256=kya1bHi2YXGPx0EyNK1JT_LbyA3WUArmQ8yNpzQ6eJ4,1091
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_granger_causality_dp_r.txt,sha256=AjOif1NPCVU7xYP7cm9CJ7QqhX3C4RQBGBqcWuB-J0c,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_granger_causality_r_dp.txt,sha256=JYhznGd1OB9V4ore3ZUnnj-3m7XX3FJkTx91eTzNQng,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_inst_causality_dp_r.txt,sha256=xhklo-2wkBVyueOQ_qFXMt74e1zqwEv-9-nqlPmmG8g,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_inst_causality_r_dp.txt,sha256=_DxA26D1u8iZHOkMsCO3605jIVlYfk_kHY4S15GN9_Y,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_ir.txt,sha256=-GIBtY2IZphscHtZOzaJST6Mw9J8Y0ImRQlgKvhSCXk,2470
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_lagorder.txt,sha256=mF97ZZuzEJU3bcOG5vVTBJI3khCOAGVrGoLSAj71tQ4,454
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli.txt,sha256=Hj6o4BU-CbWTuDgqLI922G9SFy5ZDcdXlGWzrGvn2XA,5193
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_Sigmau.txt,sha256=UZ0Ytc9trw13ZKgizzfyD4gtaQVvE82ubJy4YqBNHWo,385
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_diag.txt,sha256=XGWpNvfVaiPkak1w2klnupa59U9ZNp2gG3I4XkerXXM,1879
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_fc5.txt,sha256=EHO6zM2Ynu07h7e4pEOIYc93IMULWJ-S09aLVnsUZnY,1091
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_granger_causality_dp_r.txt,sha256=JJlDVHzolzP9bfccnFeFR913y0ZAabb_omMh5mU4Ank,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_granger_causality_r_dp.txt,sha256=rxXy1on5_IytD2homdoEHo5FwcJObdFGKQFJkI3tRgA,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_inst_causality_dp_r.txt,sha256=r1VKnIljbAGkGxE7Bvb3sjXDNSDjZI9yLhdVLx-NbcI,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_inst_causality_r_dp.txt,sha256=65FD3hk4q2Jkqlrheq5gzh14k4k7Y977rSQdHXIL1nU,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_ir.txt,sha256=uP5GZkTc6bg2jISPv8p8keud3LmlzvwSdg3zV_mTvRg,2470
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_lagorder.txt,sha256=2RryGj74HPLEBNyxfjvbrU9w7GKt0A9z51ps4NbZWMI,460
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co.txt,sha256=l_ffeAMujx673b83tMxPkNdCXkuqzdoAZDVCGC7AmL4,4087
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_Sigmau.txt,sha256=kdA_vgy2ESF56UIyondJRLkbBx-DlrWZx5hWR3-VYZE,385
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_diag.txt,sha256=Noabfru36zltBmNIQuQ_LUVsWImcX2Kuqmyq8v5Dbzk,1879
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_fc5.txt,sha256=kobhbWvGKvnezrJQSP4L4X3uk567wIePW3goZLXQR_U,1091
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_granger_causality_dp_r.txt,sha256=T_pFXiVSK2XCO6FSfd4l7J82TTDkE4n3OtOLVLvWe3I,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_granger_causality_r_dp.txt,sha256=uz8clvUPxDjgXIEcZMjPr1U6FrlmdDAQovjfTiL8gnQ,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_inst_causality_dp_r.txt,sha256=0s3oshsozwI25ysVFYN4DRT0qxc0LAoBGt4qk3ynXBE,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_inst_causality_r_dp.txt,sha256=X6613cax6x60GAm2iUrFzYeOpMULi48vbDqb-LhjOJI,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_ir.txt,sha256=G700_WkxS7MGbfgYovYn1X3asxS438iJd_nxSD7jL6w,2470
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_lagorder.txt,sha256=G0Iplw2FWt_SsOmB_gzxGlz2pl3Zn2jGSQY-IMDd-es,445
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo.txt,sha256=0PX1rchCo9e1f9SfsiKNZxefNy1w-pfWlj9KWYmJikA,4349
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_Sigmau.txt,sha256=0zpw1LecT99IrGz5HvZnKoMVPPaeWze1XXepYLAUaSE,385
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_diag.txt,sha256=mOS-h5pXJ_dQgk8B5cz_pyxZwdj_fAHGPIgV3AGt-bA,1879
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_fc5.txt,sha256=LhmqNNDodBgHOZHDsxHTm71IboN_VTstuHWWQfbTh6w,1091
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_granger_causality_dp_r.txt,sha256=AaLWyRot1jw_17wqibaxZjohJQoRLNK6F0JIwvvXKIE,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_granger_causality_r_dp.txt,sha256=qV79NF-AvALtYAV8svMiGsWxUNWoEsPyfzTXMM-WMFg,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_inst_causality_dp_r.txt,sha256=42LZ6nah6o5N3PVAoSXryqHdnCS9Qei7_WjP2yqF_Us,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_inst_causality_r_dp.txt,sha256=MTdmHoHZUNeMEMV7b_6-hD6daaUNeVGN6zCFmHvAoQE,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_ir.txt,sha256=fiNaRjG9CEIXcryKyPAw3vvvmRvysdwWzvWx2oSFqBo,2470
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_lagorder.txt,sha256=yCoS8NbaaAOJpdfvA5q2LYBPS_PVBx70BXWOkSMI0a4,451
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos.txt,sha256=VsgfT0e4UTCeVNDdX1_Km4EQc24ipAua-hidD7QtutI,4864
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_Sigmau.txt,sha256=etxeHHROoFBN8vLA6KLNoIlWNXTiFN-hkKI2csuL-cI,385
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_diag.txt,sha256=boxDooMYD95htaY31RVbYmy8U5_2YXMVeDAvIg3Gevs,1879
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_fc5.txt,sha256=Fq0Xxuawku2Jbls0-1TEJe6jkIiswcb0SqGEkhDDSsY,1091
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_granger_causality_dp_r.txt,sha256=Uw58uX0hd27Z67Ld3-bcxnNnDMApGoyhM7SxoTyWeUI,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_granger_causality_r_dp.txt,sha256=s9oOwOlTSyce-YM7aVLC8YZECvIcWr2j-p1pTUdRRvs,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_inst_causality_dp_r.txt,sha256=CJSaBN2JWVdQL3ATB5IaGbSkr0Ux59n71_WR5G-Ub6o,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_inst_causality_r_dp.txt,sha256=3WbWa5uc_nHbK7BadFq0eANjjmoiaLnFQX4HSeLOE50,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_ir.txt,sha256=-DI1wIUdcnrkWMUTzXTeCdKhVz1vNKV1i-zUTrqRLs4,2470
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_lagorder.txt,sha256=RbqF1B5lPHYEGFVDrPUjs3MfijroKg31YFflJRlGpbI,454
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo.txt,sha256=y2l-mzWpF3GMbUEZegAiA5e1bKdjHgU7oedfRXaNiDk,5126
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_Sigmau.txt,sha256=IOQvtlbAnP-zSG0VXH2OhQUi7pMd90vLB-PzFGjHtF8,385
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_diag.txt,sha256=2c9Wzjjh7zNMr6seaR5I2E1VLb5hsgZq4Np_8ZlQp48,1879
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_fc5.txt,sha256=RzJyWJEbT4Ea-ubyFZTAf6lT6bgY_6x7wu0Tk-uy1ZY,1091
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_granger_causality_dp_r.txt,sha256=OlydhQ_PbidovyIiHJfohMNI7DJt91jYrIy5UzRz-J0,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_granger_causality_r_dp.txt,sha256=rP_XellYekcAJBa4qsyp0Lf9speM1fdh76pZkjf6NwM,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_inst_causality_dp_r.txt,sha256=a8rZtJQpfPj9EQOE7ejfnRI2OoJNHN-InvT0NOpyE0E,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_inst_causality_r_dp.txt,sha256=AQyMxD28Kxrawv1jscC241IebkSaUUHmcAq2Qi0hi6w,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_ir.txt,sha256=Kbc5x3odwjcyOXaDBG2u7GEvTejZEV7rMCy7g5rOJD4,2470
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_lagorder.txt,sha256=glr3bB8CO25EOwrxgLOsWuForfEdSbhfIs4Re25gRKU,460
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc.txt,sha256=WoDkDZ2i5_m5Zjlv4Ti6yO3u5HvIqtW0IEIWvnNb10Q,3554
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_Sigmau.txt,sha256=nk52WmE8tz7Nji6w2HkM85FkWZz2wWDl5xNMLfaJqRc,385
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_diag.txt,sha256=0MA1BXVTBtmhqHa1XquTDEwYc0-2ONbOmin8AkWR7LI,1879
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_fc5.txt,sha256=mLqf0slzfJ3WotCINQ_x0wwGA6QrWm5RWmkjWRUUT0Q,1091
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_granger_causality_dp_r.txt,sha256=yRPVXCyoHWkFwVctn53Is8fCSUpVnp2yICYU-PYGXfI,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_granger_causality_r_dp.txt,sha256=G4wcqGyHKTD3kR-OmyFD-XIDbNDmm1DOd0wcvfgBFxQ,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_inst_causality_dp_r.txt,sha256=kGgEN1xZS6t_NCGL-BG7yGvtCda6V9aXdviNjZuhzT0,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_inst_causality_r_dp.txt,sha256=fXTVzWN-LIZTw4p7n_TcXR71QaIp-iHoHP_uCBX0c94,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_ir.txt,sha256=Xamq3njXdoaiQYF_Swd8Z77BD0mWu8fD6fA7wSrnk0U,2470
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_lagorder.txt,sha256=h2JDTJrKiBYXJlGOJSRvWIrn1wzSgiYrkNH7NdThaas,411
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs.txt,sha256=Jk2KLN5ha1jscumxdknwqUGOhtcFVBJCYfhiIgS4XIM,4602
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_Sigmau.txt,sha256=2uWtgbuENTkQRyZ8GAj8kR3q3WAZ5swGm03HPxZCX6s,385
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_diag.txt,sha256=c4BseRWfEHi_gcADocDSp9YEbCi8UtrDqDAuhmCxO_A,1879
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_fc5.txt,sha256=IqHQqmD5_M8i1V8MpAHGjv3ncG7lzxGRn1g6tXre5jk,1091
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_granger_causality_dp_r.txt,sha256=kW2IJSF-4C0EDvChKlNk5N6nY8R5xWoE-wu67Ye88MY,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_granger_causality_r_dp.txt,sha256=DncWnPI4a1O23QDZ-0SNgUOdaelHx7uwoBeMw0wDf6A,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_inst_causality_dp_r.txt,sha256=QgnQVE54yA0NU6D0psWNwNJLO0CXePBwoCTNCG73jn4,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_inst_causality_r_dp.txt,sha256=6OImYBXT-vhVeDU_EeAyz5q09I_HCb5L73AZyKQkFfk,307
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_ir.txt,sha256=yWFZi5jLDuFyWhmliB1raLJHHxoVTPksuI926G99gFU,2470
statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_lagorder.txt,sha256=ORCSMgvIPDQfBp2z9Mntor5gODH_d4cp4Q7mNXCBaOw,448
statsmodels/tsa/vector_ar/tests/Matlab_results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/vector_ar/tests/Matlab_results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/vector_ar/tests/Matlab_results/test_coint.csv,sha256=8XPrHnGSanQd61DzF7h-pMOaoK8Axyeh5cRKob_cuwk,22490
statsmodels/tsa/vector_ar/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/vector_ar/tests/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/vector_ar/tests/__pycache__/example_svar.cpython-39.pyc,,
statsmodels/tsa/vector_ar/tests/__pycache__/test_coint.cpython-39.pyc,,
statsmodels/tsa/vector_ar/tests/__pycache__/test_svar.cpython-39.pyc,,
statsmodels/tsa/vector_ar/tests/__pycache__/test_var.cpython-39.pyc,,
statsmodels/tsa/vector_ar/tests/__pycache__/test_var_jmulti.cpython-39.pyc,,
statsmodels/tsa/vector_ar/tests/__pycache__/test_vecm.cpython-39.pyc,,
statsmodels/tsa/vector_ar/tests/example_svar.py,sha256=6SGjk72Ws5iRm4ux28fBdk127Ew_Ex_EceLqLWGpiWs,1027
statsmodels/tsa/vector_ar/tests/results/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
statsmodels/tsa/vector_ar/tests/results/__pycache__/__init__.cpython-39.pyc,,
statsmodels/tsa/vector_ar/tests/results/__pycache__/results_svar.cpython-39.pyc,,
statsmodels/tsa/vector_ar/tests/results/__pycache__/results_svar_st.cpython-39.pyc,,
statsmodels/tsa/vector_ar/tests/results/__pycache__/results_var.cpython-39.pyc,,
statsmodels/tsa/vector_ar/tests/results/__pycache__/results_var_data.cpython-39.pyc,,
statsmodels/tsa/vector_ar/tests/results/e1.dat,sha256=xP3vFJJJzqWWZXxCcTzi9B3xYNI8Ke0bm1ni_xD8DZc,2702
statsmodels/tsa/vector_ar/tests/results/e2.dat,sha256=YinI7RbNNYJdR5WxtrpluJfVqJMrXhzyQulL8Mplacg,2165
statsmodels/tsa/vector_ar/tests/results/e3.dat,sha256=iIWFy9MWJFth7EkF3PkGYnnzHti4PoNzK3UGvoJHBKE,7765
statsmodels/tsa/vector_ar/tests/results/e4.dat,sha256=PM79mrP742gD6kIqgN74lUHZjkBE-zofxLSDEZoOvtI,3366
statsmodels/tsa/vector_ar/tests/results/e5.dat,sha256=E_Ku-OQpdRn-YHfhJptguC5BZkGxSEAAwCuf3MuJ_zk,12017
statsmodels/tsa/vector_ar/tests/results/e6.dat,sha256=Isi8nIOm7FKtnF0-OLgpYLcmRWBVPsRTLkXUK-scrPg,5197
statsmodels/tsa/vector_ar/tests/results/results_svar.py,sha256=xUquGK1-btGz_IHyRX8S6EcUT9nTiTUcNHmOlSVIY2Q,410
statsmodels/tsa/vector_ar/tests/results/results_svar_st.py,sha256=qAn9nW7R42iuQK8H5aGmDgTNtJ_43w36jDrFnFT19v4,42738
statsmodels/tsa/vector_ar/tests/results/results_var.py,sha256=pBZ4u_DTO28cN3q7WZizRjxJl9kZkSthr6DUQqkm4zI,2722
statsmodels/tsa/vector_ar/tests/results/results_var_data.py,sha256=t6GIgEPblsjcSHShdPd6v1qmCa7IFEzaOSVN_D8oiPA,6910
statsmodels/tsa/vector_ar/tests/results/vars_results.npz,sha256=SAdu-Qivvqq9ULg6iSQ8ohp--uLkIkI-NZ2Bl9HZkw8,5696
statsmodels/tsa/vector_ar/tests/test_coint.py,sha256=TeFz10q7A6eanXeWnOc0F67zx3nXid__5FosZPw1mXQ,10098
statsmodels/tsa/vector_ar/tests/test_svar.py,sha256=auMFSQuM8QM0QM8ZebmcqTGUFY_7jbqG7a5ZZkI2lsU,2962
statsmodels/tsa/vector_ar/tests/test_var.py,sha256=AHLgnJ6HuPw0rA2N9O9z8CO7NmoMg3ikP1VLWHyTtYo,30844
statsmodels/tsa/vector_ar/tests/test_var_jmulti.py,sha256=JPqe3zzsQgvlsPK1TMmIdfP4tIztZXibYWs-ZcSLGGU,27153
statsmodels/tsa/vector_ar/tests/test_vecm.py,sha256=nsAEuVtuE2lLhOIu4cSnLpjb8nYQA4w4iksyeiUPI2E,79749
statsmodels/tsa/vector_ar/util.py,sha256=YP8sMTPgDO_HX9tilZSuJBNwitOQMg_vtp626lLRYyo,10006
statsmodels/tsa/vector_ar/var_model.py,sha256=QaW0BqYfoNHW-gbmEj1u5tEked9ZbhXZI3Pu24xEemQ,78522
statsmodels/tsa/vector_ar/vecm.py,sha256=iQEZSOVzDpzMSNJV-yV4YTdtj5WS44U5aC3XN-NWEkk,96700
statsmodels/tsa/x13.py,sha256=TmWe2II6EsfuzLbZjfbCdTvUUBiAT5LnDH66ocnsjyY,23200
