(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.
Tools for analyzing and quantifying effects of counfounder variables on machine learning model predictions.
Configurable causal DAG simulator for synthetic mixed-type data and CI test benchmarks
