gbm3: Generalized Boosted Regression Models

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

Documentation:

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)

Downloads:

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

Linking:

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