Data and Code for the paper "Learning Causal Structure from Mixed Data with Missing Values using Gaussian Copula Models"

We provide two real-world datasets (riboflavin production data and chronic fatigue syndrome data) and our experimental code, which are used to illustrate our approaches proposed in the paper "Learning Causal Structure from Mixed Data with Missing Values using Gaussian Copula Models".