with Jarrod Millman, Philip Stark, and Stéfan van der Walt
permute provides permutation tests for a variety of common hypothesis testing problems. Permutation tests require only minimal distributional assumptions about the data and guarantee correct type I error rates. Our goal is to enable researchers to enable researchers to reason about what nonparametric tests are suitable for their experimental design and to effectively implement these tests in Python.
permute is available on Python Package Index and on GitHub.