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.
- Version2.3.2
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?Yes
- Last release02/25/2024
Documentation
Team
Erik Sverdrup
Julie Tibshirani
Show author detailsRolesAuthorSusan Athey
Show author detailsRolesAuthorRina Friedberg
Show author detailsRolesContributorVitor Hadad
Show author detailsRolesContributorDavid Hirshberg
Show author detailsRolesContributorLuke Miner
Show author detailsRolesContributorStefan Wager
Show author detailsRolesAuthorMarvin Wright
Show author detailsRolesContributor
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- Depends1 package
- Imports6 packages
- Suggests5 packages
- Linking To2 packages
- Reverse Imports9 packages
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