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Improved version of the NIST Statistical Test Suite (STS)

Interpretable Test ⭐ 44

NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.

Tests As Linear ⭐ 34

Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.

Parametric and non-parametric statistical tests

Hypothetical ⭐ 26

Hypothesis and statistical testing in Python

Fsic Test ⭐ 15

ICML 2017. Kernel-based adaptive linear-time independence test.

Statistical Tests for Algorithms Comparison (STAC) is a new platform for statistical analysis to verify the results obtained from computational intelligence algorithms.

Confound_prediction ⭐ 10

Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.

ROSES (R pythOn Statistical tEstS) is a package to use statistical tests from R to Python for multiple algorithms in multiple problems.

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