grf
Generalized Random Forests
Forest-based statistical estimation and inference. GRF provides non-parametric methods for heterogeneous treatment effects estimation (optionally using right-censored outcomes, multiple treatment arms or outcomes, or instrumental variables), as well as least-squares regression, quantile regression, and survival regression, all with support for missing covariates.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.6.1 |
rolling linux/jammy R-4.5 | grf_2.6.1.tar.gz |
1.1 MiB |
2.6.1 |
rolling linux/noble R-4.5 | grf_2.6.1.tar.gz |
1.2 MiB |
2.6.1 |
rolling source/ R- | grf_2.6.1.tar.gz |
613.0 KiB |
2.6.1 |
latest linux/jammy R-4.5 | grf_2.6.1.tar.gz |
1.1 MiB |
2.6.1 |
latest linux/noble R-4.5 | grf_2.6.1.tar.gz |
1.2 MiB |
2.6.1 |
latest source/ R- | grf_2.6.1.tar.gz |
613.0 KiB |
2.6.1 |
2026-04-26 source/ R- | grf_2.6.1.tar.gz |
613.0 KiB |
2.6.1 |
2026-04-23 source/ R- | grf_2.6.1.tar.gz |
613.0 KiB |
2.6.1 |
2026-04-09 windows/windows R-4.5 | grf_2.6.1.zip |
1.5 MiB |
2.4.0 |
2025-04-20 source/ R- | grf_2.4.0.tar.gz |
204.3 KiB |