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Causal Learner is a toolbox for learning causal structure and Markov blanket(MB) from data. It integrates functions for generating simulated Bayesiannetwork data, a set of state-of-the-art global causal structure learningalgorithms, a set of state-of-the-art local causal structure learningalgorithms, a set of state-of-the-art MB learning algorithms, and functions forevaluating algorithms. The data generation part of Causal Learner is written inR, and the rest of Causal Learner is written in MATLAB. Causal Learner aims toprovide researchers and practitioners with an open-source platform for causallearning from data and for the development and evaluation of new causallearning algorithms. The Causal Learner project is available athttp://bigdata.ahu.edu.cn/causal-learner.

Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning