What’s new?

Here we list a changelog of pywhy-stats.

Version 0.1

The first release of pywhy-stats! This version offers several implementations for both conditional and unconditional independence testing using various methods, including kernel independence tests, Bregman discrepancy tests and Fisher Z tests. Additionally, it introduces two methods for conditional two-sample testing using kernels and mutual information. The conditional two-sample focuses on the conditional distributions, in contrast to the traditional unconditional two-sample testing methods.

Changelog

• Feature Implement partial correlation test pywhy_stats.independence.fisherz(), by Adam Li (#7)

• Feature Add (un)conditional kernel independence test by Patrick Blöbaum, co-authored by Adam Li (#14)

• Feature Add categorical independence tests by Adam Li, (#18)

• Feature Add conditional kernel and Bregman discrepancy tests, pywhy_stats.kcd and pywhy_stats.bregman by Adam Li (#21)

Code and Documentation Contributors

Thanks to everyone who has contributed to the maintenance and improvement of the project since version inception, including:

• Adam Li

• Patrick Blöbaum