conditional-independence
(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.
Constraint-based causal discovery: simulator (dagsampler), CI tests (citk), algorithms (cbcd), metrics & viz (bnm)
Tools for analyzing and quantifying effects of confounder variables on machine learning model predictions.
