Packages
We try our best to pair each methodological paper with a practical, well-documented tool that has been tested through the paper’s experiments, so that the method can move beyond theory and support real-world practice.
- flexCausal: Causal Effect Estimation in Graphical Models with Unmeasured Variables
- flexMissing: An R Package for Target/Full Law Identification and Imputation in Given Missing Data mDAGs
- fdcausal: An R Package for Causal Effect Estimation via the Front-Door Functional
- napkincausal: An R Package for Causal Effect Estimation in the Napkin Graph