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Generalized Boosted Regression Models

0packages depend
2.6Kdownloads / year
81.7%test coverage
13/13flavors OK

Overview

About

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).

Install

Health

CRAN checks
13OK
Slowest check: 12.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK6 OK2026-05-14
Advisories

none known

Documentation

In release 3.0.2
READMEYes · 111 wordsVignettesYes · 4 · dynamicNEWSNoCitation fileNoWebsiteYes · pkgdown
Help pages
32 (1 internal)includes a package overview page
Examples that run
80%4 run in a plain check · 1 hold no code
Exported functions with examples
22%
Documented parameters
94%
Return-value docs
100%
Help pages citing references
31%

Also includes 14 demo scripts (run with demo())

Downloads

2.6K
CRAN downloads in the past year
Rank #8,375 · ~7/day · ~219/mo
Daily download trend is not available in this view yet.
33530 days
1.1K90 days
2.6K1 year
Compare downloads with other packages →
Also on1.1K r2u5 autocran

Repository

151Stars
115Forks
32Open issues
3Open PRs
0Releases
868Commits
28Commit identities
868 commits · Last activity 2026-07-16 · +0.7% stars, 30d · Default branch at 3.0.3, ahead of CRAN 3.0.2 (checked 2026-10-22)
Responsiveness
How these are sampled
PRs merged (all time)
90%
Median days to close, 50 most recently updated closed issues
42
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-09-22 · 1442026-10-01 · 151
PracticesBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/gbm-developers/gbm3 on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-07-16 · The repository has a site deploy workflow

CRAN release process (1)
cran-comments.md
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v4 (2026-10-20)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen 2026-05-07
    Seen in the repository: .claude
    Named in .Rbuildignore: .claude
  • Gemini CLIfirst seen on or before 2026-07-18
    Config: a file or ignore line, not recorded which
How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing gbm3 adds 1 package (1 with compiled code, 1.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB.

Depends (1)
R >= 3.5.0
Imports (4)
survivallatticesplinesRcpp
LinkingTo (1)
Suggests (4)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (6)
Author, Maintainer since 3.0 (2024)
Releases (3)

Pick two releases to compare their code metrics.

  • 3.0.2Latest
    record
    2026-07-13 · current release · diff ↗
  • unarchivedReturned to CRAN
    2026-05-13
  • 3.0.1
    record
    2026-05-13 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • archivedRemoved from CRAN
    2024-02-06
    check problems were not corrected in time
  • 3.0
    record
    2024-01-22
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-01-22
Total releases
3 / 2 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Download size
1.2 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gbm3")
Ridgeway, G., Hickey, J., Metcalfe, P., Schroedl, S., Southworth, H., & Therneau, T. (2026). gbm3: Generalized Boosted Regression Models (Version 3.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.gbm3

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for gbm3 version 3.0.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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