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boostrq

1.0.0Package record

Boosting Regression Quantiles

0packages depend
2.9Kdownloads / year
52.2%test coverage
13/13flavors OK

Overview

About

Boosting Regression Quantiles is a component-wise boosting algorithm, that embeds all boosting steps in the well-established framework of quantile regression. It is initialized with the corresponding quantile, uses a quantile-specific learning rate, and uses quantile regression as its base learner. The package implements this algorithm and allows cross-validation and stability selection.

Install

Health

CRAN checks
13OK
Slowest check: 1.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.0
READMEYes · 85 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
16
Examples that run
100%16 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.9K
CRAN downloads in the past year
Rank #16,846 · ~8/day · ~245/mo
Daily download trend is not available in this view yet.
24830 days
75590 days
2.9K1 year
Compare downloads with other packages →
Also on81 r2u15 autocran

Repository

2Stars
0Forks
4Open issues
0Open PRs
0Releases
65Commits
1Commit identities
License file reads as GPL-2.0 · 65 commits · Last activity 2024-03-02
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
26
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2024-04-20 · 22026-07-07 · 2
PracticesBeta

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

Checks run against github.com/stefanlinner/boostrq on 2026-10-22.

Docs source (1)
README.Rmd
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing boostrq adds 17 packages (12 with compiled code, 11 MB of source tarballs). Heaviest: partykit 2.1 MB, mboost 2.0 MB, sandwich 1.4 MB.

Depends (4)
mbooststabsstatsparallel
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 1.0.0 (2024), Copyright holder
Releases (1)
  • 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
  • 1.0.0Latest
    2024-03-05 · current release
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-03-05
Total releases
1 / 2 yrs
License
GPL (>= 2) OSI
Download size
19 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("boostrq")
Linner, S. (2024). boostrq: Boosting Regression Quantiles (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.boostrq

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 boostrq version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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