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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 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 still accessed and edited using pystan methods directly.

Project details


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bayestestimation-0.9.3-py2.py3-none-any.whl (10.0 kB view hashes)

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