Quality evaluation of machine learning estimated conditional average treatment effects (CATEs). The quality is assessed by estimating the best linear predictor of the actual CATEs using the estimated CATEs, the sorted group average treatment effects, and the rank-weighted average treatment effects induced by the estimated CATEs.
To get started, please check the online short tutorial.
The current development version of the package can be installed using the devtools package:
devtools::install_github("riccardo-df/evaluCATE") # run install.packages("devtools") if needed.
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