Metadata-Version: 1.2
Name: chainladder
Version: 0.8.2
Summary: Chainladder Package - P&C Loss Reserving package 
Home-page: https://github.com/casact/chainladder-python
Maintainer: John Bogaardt
Maintainer-email: jbogaardt@gmail.com
License: MPL-2.0
Download-URL: https://github.com/casact/chainladder-python/archive/v0.8.2.tar.gz
Description: .. -*- mode: rst -*-
        
        chainladder (python)
        ====================
        
        |PyPI version| |Conda Version| |Build Status| |codecov io| |Documentation Status|
        
        chainladder - Property and Casualty Loss Reserving in Python
        ------------------------------------------------------------
        
        This package gets inspiration from the popular `R ChainLadder package`_.
        
        This package strives to be minimalistic in needing its own API. Think in
        `pandas`_ for data manipulation and `scikit-learn`_ for model
        construction. An actuary already versed in these tools will pick up this
        package with ease. Save your mental energy for actuarial work.
        
        Available Estimators
        --------------------
        
        ``chainladder`` has an ever growing list of estimators that work seemlessly together:
        
        .. _R ChainLadder package: https://github.com/mages/ChainLadder
        .. _pandas: https://pandas.pydata.org/
        .. _scikit-learn: https://scikit-learn.org/stable/index.html
        
        .. |PyPI version| image:: https://badge.fury.io/py/chainladder.svg
           :target: https://badge.fury.io/py/chainladder
        
        .. |Conda Version| image:: https://img.shields.io/conda/vn/conda-forge/chainladder.svg
           :target: https://anaconda.org/conda-forge/chainladder
        
        .. |Build Status| image:: https://github.com/casact/chainladder-python/workflows/Unit%20Tests/badge.svg
        
        .. |Documentation Status| image:: https://readthedocs.org/projects/chainladder-python/badge/?version=latest
           :target: http://chainladder-python.readthedocs.io/en/latest/?badge=latest
        
        .. |codecov io| image:: https://codecov.io/github/casact/chainladder-python/coverage.svg?branch=master
           :target: https://codecov.io/github/casact/chainladder-python?branch=master
        
        
        
        +------------------------------+------------------+-------------------------+-----------------------+-----------------------+
        | Loss                         | Tails Factors    | IBNR Models             | Adjustments           | Workflow              |
        | Development                  |                  |                         |                       |                       |
        +==============================+==================+=========================+=======================+=======================+
        | `Development`_               | `TailCurve`_     | `Chainladder`_          | `BootstrapODPSample`_ | `VotingChainladder`_  |
        +------------------------------+------------------+-------------------------+-----------------------+-----------------------+
        | `DevelopmentConstant`_       | `TailConstant`_  | `MackChainladder`_      | `BerquistSherman`_    |  `Pipeline`_          |
        +------------------------------+------------------+-------------------------+-----------------------+-----------------------+
        | `MunichAdjustment`_          | `TailBondy`_     | `BornhuettterFerguson`_ | `ParallelogramOLF`_   | `GridSearch`_         |
        +------------------------------+------------------+-------------------------+-----------------------+-----------------------+
        | `ClarkLDF`_                  | `TailClark`_     | `Benktander`_           | `Trend`_              |                       |
        +------------------------------+------------------+-------------------------+-----------------------+-----------------------+
        | `IncrementalAdditive`_       |                  | `CapeCod`_              |                       |                       |
        +------------------------------+------------------+-------------------------+-----------------------+-----------------------+
        | `CaseOutstanding`_           |                  |                         |                       |                       |
        +------------------------------+------------------+-------------------------+-----------------------+-----------------------+
        | `TweedieGLM`_                |                  |                         |                       |                       |
        +------------------------------+------------------+-------------------------+-----------------------+-----------------------+
        | `DevelopmentML`_             |                  |                         |                       |                       |
        +------------------------------+------------------+-------------------------+-----------------------+-----------------------+
        | `BarnettZehnwirth`_          |                  |                         |                       |                       |
        +------------------------------+------------------+-------------------------+-----------------------+-----------------------+
        
        Documentation
        -------------
        
        Please visit the `Documentation`_ page for examples, how-tos, and source
        code documentation.
        
        .. _Development: https://chainladder-python.readthedocs.io/en/latest/modules/development.html#basic-development
        .. _TailCurve: https://chainladder-python.readthedocs.io/en/latest/modules/tails.html#ldf-curve-fitting
        .. _Chainladder: https://chainladder-python.readthedocs.io/en/latest/modules/methods.html#basic-chainladder
        .. _BootstrapODPSample: https://chainladder-python.readthedocs.io/en/latest/modules/workflow.html#bootstrap-sampling
        .. _DevelopmentConstant: https://chainladder-python.readthedocs.io/en/latest/modules/development.html#external-patterns
        .. _TailConstant: https://chainladder-python.readthedocs.io/en/latest/modules/tails.html#external-data
        .. _MackChainladder: https://chainladder-python.readthedocs.io/en/latest/modules/methods.html#mack-chainladder
        .. _BerquistSherman: https://chainladder-python.readthedocs.io/en/latest/modules/workflow.html#berquist-sherman
        .. _MunichAdjustment: https://chainladder-python.readthedocs.io/en/latest/modules/development.html#munich-adjustment
        .. _TailBondy: https://chainladder-python.readthedocs.io/en/latest/modules/tails.html#the-bondy-tail
        .. _BornhuettterFerguson: https://chainladder-python.readthedocs.io/en/latest/modules/methods.html#bornhuetter-ferguson
        .. _Pipeline: https://chainladder-python.readthedocs.io/en/latest/modules/workflow.html#pipeline
        .. _ClarkLDF: https://chainladder-python.readthedocs.io/en/latest/modules/development.html#growth-curve-fitting
        .. _TailClark: https://chainladder-python.readthedocs.io/en/latest/modules/tails.html#growth-curve-extrapolation
        .. _Benktander: https://chainladder-python.readthedocs.io/en/latest/modules/methods.html#benktander
        .. _GridSearch: https://chainladder-python.readthedocs.io/en/latest/modules/workflow.html#gridsearch
        .. _IncrementalAdditive: https://chainladder-python.readthedocs.io/en/latest/modules/development.html#incremental-additive
        .. _CapeCod: https://chainladder-python.readthedocs.io/en/latest/modules/methods.html#cape-cod
        .. _ParallelogramOLF: https://chainladder-python.readthedocs.io/en/latest/modules/adjustments.html#parallelogramolf
        .. _VotingChainladder: https://chainladder-python.readthedocs.io/en/latest/modules/workflow.html#votingchainladder
        .. _Trend: https://chainladder-python.readthedocs.io/en/latest/modules/adjustments.html#trend
        .. _CaseOutstanding: https://chainladder-python.readthedocs.io/en/latest/modules/development.html#caseoutstanding
        .. _TweedieGLM: https://chainladder-python.readthedocs.io/en/latest/modules/development.html#tweedieglm
        .. _DevelopmentML: https://chainladder-python.readthedocs.io/en/latest/modules/development.html#developmentml
        .. _BarnettZehnwirth: https://chainladder-python.readthedocs.io/en/latest/modules/development.html#barnettzehnwirth
        .. _Documentation: https://chainladder-python.readthedocs.io/en/latest/
        
        Getting Started Tutorials
        -------------------------
        
        Tutorial notebooks are available for download `here`_.
        
        * `Working with Triangles`_
        * `Selecting Development Patterns`_
        * `Extending Development Patterns with Tails`_
        * `Applying Deterministic Methods`_
        * `Applying Stochastic Methods`_
        * `Large Datasets`_
        
        Installation
        ------------
        
        To install using pip: ``pip install chainladder``
        
        To instal using conda: ``conda install -c conda-forge chainladder``
        
        Alternatively for pre-release functionality, install directly from github:
        ``pip install git+https://github.com/casact/chainladder-python/``
        
        Note: This package requires Python>=3.5 pandas 0.23.0 and later,
        sparse 0.9 and later, scikit-learn 0.23.0 and later.
        
        Questions?
        ----------
        
        Feel free to reach out on `Gitter`_.
        
        Want to contribute?
        -------------------
        
        Check out our `contributing guidelines`_.
        
        .. _here: https://github.com/casact/chainladder-python/tree/master/docs/tutorials
        .. _Working with Triangles: https://chainladder-python.readthedocs.io/en/latest/tutorials/triangle-tutorial.html
        .. _Selecting Development Patterns: https://chainladder-python.readthedocs.io/en/latest/tutorials/development-tutorial.html
        .. _Extending Development Patterns with Tails: https://chainladder-python.readthedocs.io/en/latest/tutorials/tail-tutorial.html
        .. _Applying Deterministic Methods: https://chainladder-python.readthedocs.io/en/latest/tutorials/deterministic-tutorial.html
        .. _Applying Stochastic Methods: https://chainladder-python.readthedocs.io/en/latest/tutorials/stochastic-tutorial.html
        .. _Large Datasets: https://chainladder-python.readthedocs.io/en/latest/tutorials/large-datasets.html
        .. _Gitter: https://gitter.im/chainladder-python/community
        .. _contributing guidelines: https://chainladder-python.readthedocs.io/en/latest/contributing.html
        
Platform: UNKNOWN
