This repo contatins the file and code to replicate the results in:
Manuele Leonelli and Gherardo Varando, Context-Specific Causal Discovery for Categorical Data Using Staged Trees Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8871-8888, 2023.
@InProceedings{pmlr-v206-leonelli23a,
title = {Context-Specific Causal Discovery for Categorical Data Using Staged Trees},
author = {Leonelli, Manuele and Varando, Gherardo},
booktitle = {Proceedings of The 26th International Conference on Artificial Intelligence and Statistics},
pages = {8871--8888},
year = {2023},
editor = {Ruiz, Francisco and Dy, Jennifer and van de Meent, Jan-Willem},
volume = {206},
series = {Proceedings of Machine Learning Research},
month = {25--27 Apr},
publisher = {PMLR},
pdf = {https://proceedings.mlr.press/v206/leonelli23a/leonelli23a.pdf},
url = {https://proceedings.mlr.press/v206/leonelli23a.html}
}
The code is written in R and based mainly in the stagedtrees package available on CRAN and on github.
Additional needed package, all avialable from CRAN:
bnlearnSIDggplot2data.tableplyrncdf4pracma