Metadata-Version: 2.1
Name: bayestestimation
Version: 0.9.0
Summary: Class method for Bayesian estimation and comparison of means
Home-page: https://github.com/oli-chipperfield/bayestestimation
Author: Oliver Chipperfield
Author-email: omc0dev@gmail.com
License: MIT license
Keywords: bayestestimation
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: >=3.5
Requires-Dist: numpy (>=1.17.2)
Requires-Dist: scipy (>=1.3.1)
Requires-Dist: pandas (>=0.25.1)
Requires-Dist: arviz (>=0.9.0)
Requires-Dist: pystan (>=2.19.1.1)
Requires-Dist: plotly (>=4.9.0)



Class method for Bayesian estimation and comparison of means

* Free software: MIT license

Features
--------

Class method that acts as a wrapper for a pystan formulation of a Bayesian 't-test' using the BEST implementation.

- Estimates the posterior distributions of the mean and standard deviation parameters for two samples, A and B

- Estimates of the posterior distribution of the difference in mean parameters for two samples, A and B.

- Provides summary statistics and visualisations for the estimated parameters.

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

- The stan model object and stan model fit object can be accessed just like using pystan directly


