bst
0.3-24Gradient Boosting
Overview
Functional gradient descent algorithm for a variety of convex and non-convex loss functions, for both classical and robust regression and classification problems. See Wang (2011) doi:10.2202/1557-4679.1304, Wang (2012) doi:10.3414/ME11-02-0020, Wang (2018) doi:10.1080/10618600.2018.1424635, Wang (2018) doi:10.1214/18-EJS1404.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 50%
- Documented parameters
- 91%
- Return-value docs
- 95%
- References docs
- 32%
Downloads
Dependencies
Code & Tests
People & History
21 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.3-24Latest
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.3-232020-11-09 · diff ↗
- 0.3-222020-10-19 · diff ↗
- 0.3-212020-06-02 · diff ↗
- 0.3-202020-05-01 · diff ↗
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.3-172019-02-27 · diff ↗
- 0.3-162019-01-16 · diff ↗
- 0.3-152018-07-23 · diff ↗
Show 23 earlier events
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 0.3-142016-09-21 · diff ↗
- RR 3.3.0 released · 2016-05-03
- 0.3-132016-02-28 · diff ↗
- 0.3-122016-01-04 · diff ↗
- 0.3-112015-12-19 · diff ↗
- RR 3.2.0 released · 2015-04-16
- 0.3-42014-06-24 · diff ↗
- RR 3.1.0 released · 2014-04-10
- 3.0.22013-09-12 · diff ↗
- 0.3-32013-09-12 · diff ↗
- RR 3.0.0 released · 2013-04-03
- RR 2.15.0 released · 2012-03-30
- 0.3-22012-01-17 · diff ↗
- RR 2.14.0 released · 2011-10-31
- 2.13.22011-08-07 · diff ↗
- 0.3-12011-06-24 · diff ↗
- 2.13.12011-06-16 · diff ↗
- RR 2.13.0 released · 2011-04-13
- 0.22011-03-31 · diff ↗
- 2.12.22011-02-12
- RR 2.12.0 released · 2010-10-15
Package metadata
- First published
- 2011-03-31
- Total releases
- 21 / 15 yrs
- License
- GPL (>= 2) OSI
- Download size
- 1.8 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Start here. This is the citation for the package itself.
citation("bst")CRAN DOI
https://doi.org/10.32614/CRAN.package.bstBibTeX, derived from DESCRIPTION
@Manual{bst,
title = {bst: Gradient Boosting},
author = {Wang, Zhu and Hothorn, Torsten},
year = {2023},
note = {R package version 0.3-24},
doi = {10.32614/CRAN.package.bst},
url = {https://CRAN.R-project.org/package=bst}
}Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.
This is the citation for the package. It is not a citation for the R Observatory.
Cite this page
Use this when the claim is about a measurement on this page.
BibTeX
@misc{robservatorybst,
author = {Balamuta, James Joseph},
title = {{R} {Observatory}: Metrics for {bst} version 0.3-24},
year = {2026},
publisher = {HJJB, LLC},
url = {https://r-observatory.thecoatlessprofessor.com/packages/bst},
note = {Data set. Data release v2026-08-05}
}APA
Balamuta, J. J. (2026). R Observatory: Metrics for bst version 0.3-24 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/bstRIS
TY - DATA
AU - Balamuta, James Joseph
TI - R Observatory: Metrics for bst version 0.3-24
PY - 2026
PB - HJJB, LLC
N1 - Data release v2026-08-05
UR - https://r-observatory.thecoatlessprofessor.com/packages/bst
ER - In prose
These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/bst.Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.