goftests
Goodness of fit tests for general datatypes
Goodness of fit tests for general datatypes
To install this package, run one of the following:
Goftests is intended for unit testing random samplers that generate arbitrary plain-old-data, and focuses on robustness rather than statistical efficiency. In contrast to scipy.stats and statsmodels, goftests does not make assumptions on the distribution being tested, and requires only a simple (sample, prob) interface provided by MCMC samplers.
Summary
Goodness of fit tests for general datatypes
Last Updated
Jul 11, 2018 at 13:49
License
BSD-3-Clause
Total Downloads
169.0K
Supported Platforms
GitHub Repository
https://github.com/posterior/goftests