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.
1 maintainer
Metadata
1 maintainer
Release files for bayestestimation 0.9.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| bayestestimation-0.9.3.tar.gz | 15.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bayestestimation-0.9.3-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 25.7 kB
Release files / bayestestimation-0.9.3.tar.gz
| Download URL | bayestestimation-0.9.3.tar.gz |
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| Size | 15.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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Release files / bayestestimation-0.9.3-py2.py3-none-any.whl
| Download URL | bayestestimation-0.9.3-py2.py3-none-any.whl |
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| Size | 10.0 kB |
| Tags | Python 2 Python 3 |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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