CURLS

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**Directory structure** - CURLS: proposed causal rule learning algorithm - data: synthetic data set and real data set - pipeline: code for quantitative experiments **Environment** ```shell # R configuration install.packages("remotes") library(remotes) # partykit(1.2.20) install.packages("partykit") # CRE(0.2.5) install_github("NSAPH-Software/CRE", ref="develop") # causalTree(0.0) install_github("susanathey/causalTree") # python package installation conda create -n causal-rule python=3.11 conda activate causal-rule pip install requirements.txt # running experiments python evaluation.py config_dataxx.txt ```

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