Extensions to Freund and Schapire's AdaBoost algorithm, Y. Freund and R. Schapire (1997) <doi:10.1006/jcss.1997.1504> and Friedman's gradient boosting machine, J.H. Friedman (2001) <doi:10.1214/aos/1013203451>. Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMART).
| Version: | 3.0.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | survival, lattice, splines, Rcpp (≥ 1.0.0) |
| LinkingTo: | Rcpp |
| Suggests: | testthat (≥ 3.1.0), knitr, rmarkdown, MASS |
| Published: | 2026-05-13 |
| DOI: | 10.32614/CRAN.package.gbm3 |
| Author: | James Hickey [aut], Paul Metcalfe [aut], Greg Ridgeway [aut, cre], Stefan Schroedl [aut], Harry Southworth [aut], Terry Therneau [aut] |
| Maintainer: | Greg Ridgeway <gridge at upenn.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/gbm-developers/gbm3 |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | gbm3 results |
| Reference manual: | gbm3.html , gbm3.pdf |
| Vignettes: |
CoxPH (source, R code) Generalized Boosted Models: A guide to the gbm package (source, R code) GBM Tutorial (source, R code) Model Specific Parameters (source, R code) |
| Package source: | gbm3_3.0.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): gbm3_3.0.1.tgz, r-oldrel (arm64): gbm3_3.0.1.tgz, r-release (x86_64): gbm3_3.0.1.tgz, r-oldrel (x86_64): gbm3_3.0.1.tgz |
| Old sources: | gbm3 archive |
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