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fastgbm

0.6.1Package record

Fast Histogram Gradient Boosting for Regression, Classification, and Survival Analysis

0packages depend
542downloads / year
90.0%test coverage
13/13flavors OK

Overview

About

A fast gradient boosting machine covering four task types with one interface: regression (squared error), binary and multiclass classification (logistic and one-vs-rest), and right-censored survival analysis via Cox (Breslow ties), accelerated failure time (normal location-scale), or piecewise-exponential objectives. Provides native missing-value routing, baseline-hazard estimation and survival-probability prediction for the survival objectives, and deterministic multi-threaded training via 'RcppParallel'. Methods are described in Friedman (2001) doi:10.1214/aos/1013203451.

Changes in 0.6.1

CRAN resubmission fixes

  • Single-quoted 'RcppParallel' in the DESCRIPTION Description field (per CRAN reviewer feedback: software names must be single-quoted in Title/Description).
  • Added a methods reference to Description: Friedman (2001) <doi:10.1214/aos/1013203451>, the canonical gradient boosting machine reference (per CRAN reviewer request).

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.2 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-10-25
  • ERROR12 OK, 1 ERROR2026-10-24
  • OK7 OK2026-09-02
Advisories

none known

Documentation

In release 0.6.1
READMEYes · 3,693 wordsVignettesYes · 6 · dynamicNEWSYes · 100% structured · mentions 0.6.1Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
14 (1 internal)includes a package overview page
Examples that run
no examples
Exported functions with examples
0%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

542
CRAN downloads in the past year
Rank #23,790 · ~1/day · ~45/mo
Daily download trend is not available in this view yet.
20730 days
54290 days
5421 year
Compare downloads with other packages →
Also on16 r2u6 autocran

Repository

1Stars
0Forks
0Open issues
0Open PRs
0Releases
87Commits
1Commit identities
87 commits · Last activity 2026-10-19 · 0% stars, 30d · Default branch at 0.7.0, ahead of CRAN 0.6.1 (checked 2026-10-21)
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2026-09-02 · 02026-09-06 · 1
PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/ielbadisy/fastgbm on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

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

CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing fastgbm adds 2 packages (2 with compiled code, 2.5 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppParallel 744 KB.

Depends (1)
R >= 4.5.0
Imports (4)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.6.1 (2026)
Releases (1)
  • 0.6.1Latest
    2026-09-01 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-09-01
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.5.0
Download size
404 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("fastgbm")
El Badisy, I. (2026). fastgbm: Fast Histogram Gradient Boosting for Regression, Classification, and Survival Analysis (Version 0.6.1) [Computer software]. https://doi.org/10.32614/CRAN.package.fastgbm

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 fastgbm version 0.6.1 [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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