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Combine Bayesian analyses from many datasets. Easy sample parameter distributions.
pip install posteriorstacker
PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.
posteriorstacker publishes 0 wheels and 1 source archive for version 0.6.2. Wheel platform tags: No wheel platform tags.
Declared Python classifiers: 3.5, 3.6, 3.7, 3.8, 3.9.
PyPI lists 4 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .