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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.4 |
rolling linux/jammy R-4.5 | tidyhte_1.0.4.tar.gz |
1.3 MiB |
1.0.4 |
rolling linux/noble R-4.5 | tidyhte_1.0.4.tar.gz |
1.3 MiB |
1.0.4 |
rolling source/ R- | tidyhte_1.0.4.tar.gz |
625.6 KiB |
1.0.4 |
latest linux/jammy R-4.5 | tidyhte_1.0.4.tar.gz |
1.3 MiB |
1.0.4 |
latest linux/noble R-4.5 | tidyhte_1.0.4.tar.gz |
1.3 MiB |
1.0.4 |
latest source/ R- | tidyhte_1.0.4.tar.gz |
625.6 KiB |
1.0.4 |
2026-04-26 source/ R- | tidyhte_1.0.4.tar.gz |
625.6 KiB |
1.0.4 |
2026-04-23 source/ R- | tidyhte_1.0.4.tar.gz |
625.6 KiB |
1.0.4 |
2026-04-09 windows/windows R-4.5 | tidyhte_1.0.4.zip |
1.3 MiB |
1.0.2 |
2025-04-20 source/ R- | tidyhte_1.0.2.tar.gz |
738.1 KiB |