This is the implementation of MERIT from the paper:

Yao, R., Verdonck, T., & Raymaekers, J. (2025), Causal discovery in mixed additive noise models, AISTATS2025 (Oral).

Code partially based on the R package CompareCausalNetworks

Required packages:
install.packages("randomForest")
install.packages("SID")
install.packages('dHSIC')
install.packages('cdcsis')
install.packages('foreach')
install.packages('doParallel')
install.packages('igraph')

RESIT_fitting.R: Utilis functions.
MERIT.R: Implementation of the Mixed-type data Extension for Regression and Independence Testing (MERIT).
data_simulationcode.R: Utilis functions for generating synthetic datasets.
data_generation.R: Generating the synthetic datasets for experiments.
examples.R: Examples for training and evaluation using data from example_data/.