Algorithms for quantifying associations, independence testing and causal inference from data.
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Updated
Sep 22, 2024 - Julia
Algorithms for quantifying associations, independence testing and causal inference from data.
Python package for (conditional) independence testing and statistical functions related to causality.
(Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information estimators. Supports continuous, discrete, and mixed data, as well as multiprocessing.
analysis of contingency tables and their residuals, with a bootstrap correction for multiple testing
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