README.txt

This repository is part of the supplementary material for the paper: “Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery”

The file R/bqcd.R contains an implementation of our causal discovery method.

EXAMPLES ——————————————————— See R/benchmark-xyz for examples. Benchmarks can be run from root directory.

CONTENTS ——————————————————— . |-- R | |-- baselines | | |-- GRAN_EMD | | -- Slope | | |-- Slope.R | | |-- resit | |-- baselines.R | |-- benchmark-ANLSMN.R | |-- benchmark-SIM.R | |-- benchmark-Tuebingen.R | |-- generate-ANLSMN-data.R | |-- bqcd.R | -- utils | |-- data_generators.R | -- read_tueb.R |-- README |-- code.Rproj |-- data | |-- ANLSMN_pairs | | |-- AN | | |-- AN-s | | |-- LS | | |-- LS-s | | -- MN-U | |-- SIM_pairs | | |-- SIM | | |-- SIM-G | | |-- SIM-c | | -- SIM-ln | -- tuebingen_benchmark `-- results

PACKAGES REQUIRED ——————————————————— install.packages(c("rvinecopulib", "statmod", "qrnn", "quantregForest")) # for bQCD install.packages("MASS") # for the data generators install.packages(c("CAM", "Hmisc", "np", "energy", "data.table", "boot", "energy", "gptk", "clue")) # for the baselines