An introduction to grf3 months ago
A grf guided tour | Machine learning for causal inference | Random forest as an adaptive neighborhood finder | Efficiently estimating summaries of the CATEs | Assessing heterogeneity with TOC curves | Policy evaluation with Qini curves | Learning interpretable policies | Example: Treatment heterogeneity and financial proficiency | Example: The effect of poverty on attention | References
grf 2.6.1Erik Sverdrup, Vitor Hadad, Susan Athey, Julie Tibshirani, Stefan Wagergrf_guide.Rmd