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 |
| Reference manual: | Rforestry.html , Rforestry.pdf |
| Package source: | Rforestry_0.11.1.0.tar.gz |
| Windows binaries: | r-devel: Rforestry_0.11.1.0.zip, r-release: Rforestry_0.11.1.0.zip, r-oldrel: Rforestry_0.11.1.0.zip |
| macOS binaries: | r-release (arm64): Rforestry_0.11.1.0.tgz, r-oldrel (arm64): Rforestry_0.11.1.0.tgz, r-release (x86_64): Rforestry_0.11.1.0.tgz, r-oldrel (x86_64): Rforestry_0.11.1.0.tgz |
| Old sources: | Rforestry archive |
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