Package: grf
Title: Generalized Random Forests
Version: 2.6.1
Authors@R: c(
    person("Julie", "Tibshirani", role = "aut", email = "jtibs@cs.stanford.edu"),
    person("Susan", "Athey", role = "aut"),
    person("Rina", "Friedberg", role = "ctb"),
    person("Vitor", "Hadad", role = "ctb"),
    person("David", "Hirshberg", role = "ctb"),
    person("Luke", "Miner", role = "ctb"),
    person("Erik", "Sverdrup", role = c("aut", "cre"), email = "erik.sverdrup@monash.edu"),
    person("Stefan", "Wager", role = "aut"),
    person("Marvin", "Wright", role = "ctb")
    )
BugReports: https://github.com/grf-labs/grf/issues
Description: 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.
Depends: R (>= 3.5.0)
License: GPL-3
LinkingTo: Rcpp, RcppEigen
Imports: DiceKriging, lmtest, Matrix, methods, Rcpp (>= 0.12.15),
        sandwich (>= 2.4-0)
RoxygenNote: 7.3.3
Suggests: DiagrammeR, MASS, policytree, rdrobust, survival (>= 3.2-8),
        testthat (>= 3.0.4), knitr, rmarkdown
SystemRequirements: C++17, GNU make
URL: https://github.com/grf-labs/grf
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2026-06-24 10:06:50 UTC; root
Author: Julie Tibshirani [aut], Susan Athey [aut], Rina Friedberg
        [ctb], Vitor Hadad [ctb], David Hirshberg [ctb], Luke Miner
        [ctb], Erik Sverdrup [aut, cre], Stefan Wager [aut], Marvin
        Wright [ctb]
Maintainer: Erik Sverdrup <erik.sverdrup@monash.edu>
Config/pak/sysreqs: make
Repository: https://anumbat.r-universe.dev
Date/Publication: 2026-03-04 06:30:43 UTC
RemoteUrl: https://github.com/cran/grf
RemoteRef: HEAD
RemoteSha: 4cfeab8ee3ec2f7a4e744e530fa824e7f47ad4b7