R Observatory: Metrics for QuantRegGLasso version 1.0.1

Balamuta, James Joseph

QuantRegGLasso

1.0.1

Adaptively Weighted Group Lasso for Semiparametric Quantile Regression Models

0packages depend

2.2Kdownloads / year

90.9%test coverage

13/13checks pass

Overview

About

Maintained by Wen-Ting WangFirst published 2024-01-162 releasesCRAN page ↗GitHub ↗

Implements an adaptively weighted group Lasso procedure for simultaneous variable selection and structure identification in varying coefficient quantile regression models and additive quantile regression models with ultra-high dimensional covariates. The methodology, grounded in a strong sparsity condition, establishes selection consistency under certain weight conditions. To address the challenge of tuning parameter selection in practice, a BIC-type criterion named high-dimensional information criterion (HDIC) is proposed. The Lasso procedure, guided by HDIC-determined tuning parameters, maintains selection consistency. Theoretical findings are strongly supported by simulation studies. (Toshio Honda, Ching-Kang Ing, Wei-Ying Wu, 2019, DOI:10.3150/18-BEJ1091).

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("QuantRegGLasso", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("egpivo/QuantRegGLasso")

Development version from egpivo/QuantRegGLasso. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-quantregglasso

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-QuantRegGLasso

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-QuantRegGLasso

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.7 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.60

90.9%

Coverage · measured lines

100%

Documentation · exports

2

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
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 229 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 9%

Downloads

2.2K

CRAN downloads in the past year

Rank #21,327 · ~6/day · ~185/mo

Releases R versions

Daily download trend is not available in this view yet.

13630 days

50890 days

2.2K1 year

Compare downloads with other packages →

Also on396 r2u3 autocran

Repository

GitHub ↗ egpivo/quantregglasso

5Stars

0Forks

0Open issues

0Open PRs

1Releases

49Commits

2Contributors

group-lassohigh-dimensionalquantile-regressionr-packagercpparmadilloadmmrcpp

License GPL-2.0 · 49 commits · Last activity 2025-10-07 · 0% stars, 30d

Stars over time

2025-03-11 · 42026-07-07 · 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/egpivo/quantregglasso on 2026-08-03.

Continuous integration (1)

GitHub Actions

Coverage (1)

Codecov

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.4.0

Imports (2)

Rcpp ggplot2

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)

Maintainer (1)

Wen-Ting Wang

Author, Maintainer

Authors (4)

Author, Maintainer

Author

Author

Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.0.1Latest
2025-10-06 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.0.0
2024-01-16
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2024-01-16
Total releases: 2 / 2 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.4.0
Download size: 27 KB
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("QuantRegGLasso")

CRAN DOI

https://doi.org/10.32614/CRAN.package.QuantRegGLasso

BibTeX, derived from DESCRIPTION

@Manual{QuantRegGLasso,
  title  = {QuantRegGLasso: Adaptively Weighted Group Lasso for Semiparametric Quantile
Regression Models},
  author = {Wang, Wen-Ting and Honda, Toshio and Ing, Ching-Kang and Wu, Wei-Ying},
  year   = {2025},
  note   = {R package version 1.0.1},
  doi    = {10.32614/CRAN.package.QuantRegGLasso},
  url    = {https://CRAN.R-project.org/package=QuantRegGLasso}
}

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{robservatoryQuantRegGLasso,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {QuantRegGLasso} version 1.0.1},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/QuantRegGLasso},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for QuantRegGLasso version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/QuantRegGLasso

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for QuantRegGLasso version 1.0.1
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/QuantRegGLasso
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/QuantRegGLasso.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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