Package: Rforestry
Type: Package
Title: Random Forests, Linear Trees, and Gradient Boosting for
        Inference and Interpretability
Version: 0.10.1
Author: Sören Künzel, Theo Saarinen, Simon Walter, Edward Liu, Allen
        Tang, Jasjeet Sekhon
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 Honest 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,
        grDevices, onehot
LinkingTo: Rcpp, RcppArmadillo, RcppThread
RoxygenNote: 7.1.1
SystemRequirements: C++11
Suggests: testthat, knitr, rmarkdown, mvtnorm
VignetteBuilder: knitr
Collate: 'R_preprocessing.R' 'RcppExports.R' 'forestry.R'
        'backwards_compatible.R' 'compute_rf_lp.R'
        'neighborhood_imputation.R' 'plottree.R'
Config/pak/sysreqs: cmake make libuv1-dev
Repository: https://forestry-labs.r-universe.dev
Date/Publication: 2025-03-12 00:03:56 UTC
RemoteUrl: https://github.com/forestry-labs/rforestry
RemoteRef: HEAD
RemoteSha: 92b396d77d7ce2bbaba1c6d97c8861ea43ae1566
NeedsCompilation: yes
Packaged: 2026-07-04 23:31:46 UTC; root