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.
Version: 0.11.1.0 Imports: Rcpp (≥ 0.12.9), parallel, methods, visNetwork, glmnet (≥ 4.1), grDevices, onehot LinkingTo: Rcpp, RcppArmadillo, RcppThread Suggests: testthat, knitr, rmarkdown, mvtnorm Published: 2025-03-15 DOI: 10.32614/CRAN.package.Rforestry Author: Sören Künzel [aut], Theo Saarinen [aut, cre], Simon Walter [aut], Sam Antonyan [aut], Edward Liu [aut], Allen Tang [aut], Jasjeet Sekhon [aut] Maintainer: Theo Saarinen <theo_s at berkeley.edu> BugReports: https://github.com/forestry-labs/Rforestry/issues License: GPL (≥ 3) | file LICENSE URL: https://github.com/forestry-labs/Rforestry NeedsCompilation: yes Materials: README In views: MissingData CRAN checks: Rforestry results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=Rforestry to link to this page.
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