Package: gbm3 3.0.1

Greg Ridgeway

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).

Authors:James Hickey [aut], Paul Metcalfe [aut], Greg Ridgeway [aut, cre], Stefan Schroedl [aut], Harry Southworth [aut], Terry Therneau [aut]

gbm3_3.0.1.tar.gz
gbm3_3.0.1.zip(r-4.7)gbm3_3.0.1.zip(r-4.6)gbm3_3.0.1.zip(r-4.5)
gbm3_3.0.1.tgz(r-4.6-x86_64)gbm3_3.0.1.tgz(r-4.6-arm64)gbm3_3.0.1.tgz(r-4.5-x86_64)gbm3_3.0.1.tgz(r-4.5-arm64)
gbm3_3.0.1.tar.gz(r-4.7-arm64)gbm3_3.0.1.tar.gz(r-4.7-x86_64)gbm3_3.0.1.tar.gz(r-4.6-arm64)gbm3_3.0.1.tar.gz(r-4.6-x86_64)
gbm3_3.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
gbm3/json (API)

# Install 'gbm3' in R:
install.packages('gbm3', repos = c('https://gbm-developers.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gbm-developers/gbm3/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

cppopenmp

8.57 score 148 stars 63 scripts 3 downloads 24 exports 4 dependencies

Last updated from:219ff214f5. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK282
linux-devel-x86_64OK278
source / vignettesOK352
linux-release-arm64OK295
linux-release-x86_64OK286
macos-release-arm64OK284
macos-release-x86_64OK541
macos-oldrel-arm64OK303
macos-oldrel-x86_64OK538
windows-develOK323
windows-releaseOK340
windows-oldrelOK377
wasm-releaseOK158

Exports:available_distributionsbaseline_hazardcalibrate_plotdistribution_namegbmgbm_distgbm_moregbm_roc_areagbm.fitgbm.perfgbmParallelgbmtgbmt_fitgbmt_performanceinteractiteration_errorperf_pairwisepermutation_relative_influencepretty_gbm_treequantile_rugrelative_influenceto_old_gbmtraining_paramstrees

Dependencies:latticeMatrixRcppsurvival

Guide to the Cox Proportional Hazards model

James Hickey

Rendered fromcox-proportional-hazards-guide.Rmdusingknitr::rmarkdownon May 14 2026.

Last update: 2024-01-11
Started: 2016-08-11

Getting started with the gbm package

James Hickey

Rendered fromgetting-started-with-gbm.Rmdusingknitr::rmarkdownon May 14 2026.

Last update: 2026-05-07
Started: 2016-08-11

Generalized Boosted Models: A guide to the gbm package

The GBM developers

Rendered fromgbm.Rmdusingknitr::rmarkdownon May 14 2026.

Last update: 2024-01-14
Started: 2024-01-13

Model Specific Parameters

James Hickey

Rendered frommodel-specific-parameters.Rmdusingknitr::rmarkdownon May 14 2026.

Last update: 2026-05-08
Started: 2016-08-11