Metadata-Version: 2.1
Name: bayespropestimation
Version: 0.9.0
Summary: Class method for the Bayesian estimation and comparison of proportions
Home-page: https://github.com/oli-chipperfield/bayespropestimation
Author: Oliver Chipperfield
Author-email: omc0dev@googlemail.com
License: MIT license
Keywords: bayespropestimation
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.7
Requires-Dist: numpy (>=1.17.2)
Requires-Dist: scipy (>=1.3.1)
Requires-Dist: pandas (>=0.25.1)
Requires-Dist: matplotlib (>=3.1.1)
Requires-Dist: seaborn (>=0.9.0)
Requires-Dist: arviz (>=0.9.0)



Simple class and methods for the Bayesian estimation and comparison of proportions.  i.e. a simple Bayesian AB test of proportions.  

- A user can input the results from two samples, A and B, and get estimates of the posterior density and their difference.  

- Estimation is by simple simulation from the conjugate posterior distributions.  

- Provides summary statistics and visualisations for the estimated parameters.

- The prior distribution, sample count, random seed, credible intervals and parameter names can all be customised.



