Metadata-Version: 1.2
Name: kanga
Version: 0.0.16
Summary: MCMC diagnostics
Home-page: https://github.com/papamarkou/kanga
Author: Theodore Papamarkou
Author-email: theodore.papamarkou@gmail.com
License: MIT
Download-URL: https://github.com/papamarkou/kanga/archive/v0.0.16.tar.gz
Description: # kanga
        
        MCMC diagnostics in Python.
        
        kanga can be installed using pip or anaconda.
        
        To install kanga using pip, run
        ```
        pip install kanga
        ```
        
        To install kanga using anaconda, firstly add the conda-forge channel by running
        ```
        conda config --add channels conda-forge
        ```
        and subsequently run
        ```
        conda install -c papamarkou kanga
        ```
        To install kanga using anaconda without adding the conda-forge channel, run
        ```
        conda install -c papamarkou -c conda-forge kanga
        ```
        
Keywords: Bayesian,diagnostics,Markov chains,MCMC,Monte Carlo
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.6
