tidyhte - Tidy Estimation of Heterogeneous Treatment Effects
Estimates heterogeneous treatment effects using tidy
semantics on experimental or observational data. Methods are
based on the doubly-robust learner of Kennedy (2023)
<doi:10.1214/23-EJS2157>. You provide a simple recipe for what
machine learning algorithms to use in estimating the nuisance
functions and 'tidyhte' will take care of cross-validation,
estimation, model selection, diagnostics and construction of
relevant quantities of interest about the variability of
treatment effects.
