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BsplineQuantReg

0.2.5

'Constrained Quantile Regression with B-Splines'

0packages depend
707downloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Alexandre AbbesFirst published 2026-06-235 releasesCRAN page ↗GitHub ↗

Quantile regression with B-splines under shape constraints. The initial version with cubic splines is now augmented with splines of degree 1 to 4. Constraints for degrees 3 (monotone) and 4 (monotone and convex) use the Karlin-Studden SOCP characterization for the sign of the polynomial, while other constraints applied at the knots are added as linear problems. The method for cubic splines is described in 'Abbes (2026)' doi:10.5281/zenodo.17427913. Other formulations are simple consequences of the other given references. All B-spline and polynomial functions have been rewritten for consistency. This package provides an original B-spline library for conversion between PP-form and B-spline representation, evaluation, differentiation, callable and non-callable objects, print human readable pp forms, view basis, all based on "De Boor\'s" theory. It also extends to multiple knots to catch up singularities. This feature is robust in the package including for constrained regression. This R implementation is intended for demonstration and prototyping. An equivalent Python package is available at https://pypi.org/project/BsplineQuantRegpy/.

Install

Health

CRAN checks
13OK
Slowest check: 3.3 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-26
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • WARNING2026-07-22
    8 OK · 0 NOTE · 5 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-24
    8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 520 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
83%
Documented parameters
100%
Return-value docs
97%
References docs
5%

Downloads

707
CRAN downloads in the past year
Rank #15,151 · ~2/day · ~59/mo
Daily download trend is not available in this view yet.
34330 days
70790 days
7071 year
Compare downloads with other packages →
Also on22 r2u

Repository

Repository
0Stars
0Forks
1Open issues
0Open PRs
5Releases
141Commits
2Contributors
141 commits · Last activity 2026-08-22

Releases over time

2026-07-07 · 02026-08-20 · 5

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/alexandreabbes/bsplinequantreg on 2026-08-23.

Continuous integration (1)
GitHub Actions
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (3)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 0.2.5Latest
    2026-08-20 · current release · diff ↗
  • 0.2.2
    2026-07-28 · diff ↗
  • 0.2.1
    2026-07-25 · diff ↗
  • 0.2.0
    2026-07-21 · diff ↗
  • 0.1.0
    2026-06-23
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-06-23
Total releases
5 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Download size
2.2 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BsplineQuantReg")
Abbes, A. (2026). BsplineQuantReg: 'Constrained Quantile Regression with B-Splines' (Version 0.2.5) [Computer software]. https://doi.org/10.32614/CRAN.package.BsplineQuantReg

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 BsplineQuantReg version 0.2.5 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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