Skip to content

unitquantreg

0.0.6Package record

Parametric Quantile Regression Models for Bounded Data

0packages depend
2.8Kdownloads / year
90.9%test coverage
13/13flavors OK

Overview

About

A collection of parametric quantile regression models for bounded data. At present, the package provides 13 parametric quantile regression models. It can specify regression structure for any quantile and shape parameters. It also provides several S3 methods to extract information from fitted model, such as residual analysis, prediction, plotting, and model comparison. For more computation efficient the [dpqr]'s, likelihood, score and hessian functions are written in C++. For further details see Mazucheli et. al (2022) doi:10.1016/j.cmpb.2022.106816.

Changes in 0.0.6
  • Removed dependence of optimx::gHgen() for calculate the numeric Hessian matrix in the unitquantreg.fit() function.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 8.0 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.0.6
READMEYes · 139 wordsVignettesYes · 2 · dynamicNEWSYes · 100% structured · mentions 0.0.6Citation fileYes · software entry onlyWebsiteYes · pkgdown
Help pages
29includes a package overview page
Examples that run
100%18 run in a plain check
Exported functions with examples
89%
Documented parameters
67%
Return-value docs
100%
Help pages citing references
72%

Downloads

2.8K
CRAN downloads in the past year
Rank #14,216 · ~8/day · ~233/mo
Daily download trend is not available in this view yet.
28130 days
81890 days
2.8K1 year
Compare downloads with other packages →
Also on344 r2u2 autocran

Repository

1Stars
0Forks
0Open issues
0Open PRs
0Releases
113Commits
1Commit identities
113 commits · Last activity 2023-09-12 · 0% stars, 30d
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

2024-04-17 · 12026-07-07 · 1
PracticesBeta

9 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/andrmenezes/unitquantreg on 2026-10-11.

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 (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2023-09-12 · The repository has a site deploy workflow

pkgdown site last built 2023-09-12

Coverage (1)
Coverage reporting (Codecov)
CRAN release process (1)
cran-comments.md
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing unitquantreg adds 9 packages (4 with compiled code, 8.0 MB of source tarballs). Heaviest: optimx 2.2 MB, nloptr 2.1 MB, Rcpp 1.8 MB.

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

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.0.3 (2022)
Releases (3)

Pick two releases to compare their code metrics.

  • 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
  • 0.0.6Latest
    record
    2023-09-06 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2022-10-16
  • 0.0.5
    record
    2022-10-16 · diff ↗
  • archivedRemoved from CRAN
    2022-10-02
    issues were not corrected in time
  • 0.0.3
    record
    2022-09-19
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-09-19
Total releases
3 / 4 yrs
License
Apache License (>= 2)
Minimum R
≥ 3.5.0
Bundled data
63 KB / 3 files
Download size
591 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("unitquantreg")

The package provides a citation file, so citation() returns the authors' own entry.

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 unitquantreg version 0.0.6 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy