Class method for Bayesian estimation and comparison of means
Project description
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
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for bayestestimation-0.1.2-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ebf84275bd373879746657782421963c8f4cc2c9c15d2414e3641bff7cd720ba |
|
MD5 | d6b9619bd50a24d6f425974d83ef7ab4 |
|
BLAKE2b-256 | 3c5f2ab9f0bf2c4139a0cfe8267e756afde223d671ff57815cf41b5e4e87c88f |