Package: Rforestry
Type: Package
Title: Random Forests, Linear Trees, and Gradient Boosting for
        Inference and Interpretability
Version: 0.11.1.0
Authors@R: c(
    person("Sören", "Künzel", role = "aut"),
    person("Theo", "Saarinen", role = c("aut","cre"), email = "theo_s@berkeley.edu"),
    person("Simon", "Walter", role = "aut"),
    person("Sam", "Antonyan", role = "aut"),
    person("Edward", "Liu", role = "aut"),
    person("Allen", "Tang", role = "aut"),
    person("Jasjeet", "Sekhon", role = "aut")
    )
Maintainer: Theo Saarinen <theo_s@berkeley.edu>
BugReports: https://github.com/forestry-labs/Rforestry/issues
URL: https://github.com/forestry-labs/Rforestry
Description: Provides fast implementations of Random Forests, Gradient
        Boosting, and Linear Random Forests, with an emphasis on
        inference and interpretability. Additionally contains methods
        for variable importance, out-of-bag prediction, regression
        monotonicity, and several methods for missing data imputation.
License: GPL (>= 3) | file LICENSE
Encoding: UTF-8
Imports: Rcpp (>= 0.12.9), parallel, methods, visNetwork, glmnet (>=
        4.1), grDevices, onehot
LinkingTo: Rcpp, RcppArmadillo, RcppThread
RoxygenNote: 7.2.3
Suggests: testthat, knitr, rmarkdown, mvtnorm
Collate: 'R_preprocessing.R' 'RcppExports.R' 'forestry.R'
        'backwards_compatible.R' 'compute_rf_lp.R'
        'neighborhood_imputation.R' 'plottree.R'
NeedsCompilation: yes
Packaged: 2026-10-19 10:18:19 UTC; root
Author: Sören Künzel [aut], Theo Saarinen [aut, cre], Simon Walter
        [aut], Sam Antonyan [aut], Edward Liu [aut], Allen Tang [aut],
        Jasjeet Sekhon [aut]
Repository: https://cran.r-universe.dev
Date/Publication: 2025-03-15 23:40:02 UTC
RemoteUrl: https://github.com/cran/Rforestry
RemoteRef: HEAD
RemoteSha: 499c58574057949c9a6183dfbff889d6415d0bb7