/causalLearning

Methods for heterogeneous treatment effect estimation

Primary LanguageR

causalLearning

Methods for heterogeneous treatment effect estimation

This R package includes functions for fitting the pollinated transformed outcome forest, causal boosting and causal MARS from Powers et al. (2017).

The package is currently in beta, not yet ready for public consumption.