R Observatory: Metrics for QuantRegGLasso version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

QuantRegGLasso

1.0.1Package record

Adaptively Weighted Group Lasso for Semiparametric Quantile Regression Models

0packages depend

2.2Kdownloads / year

90.9%test coverage

13/13flavors OK

Overview

About

Maintained by Wen-Ting WangCRAN page ↗GitHub ↗Issues ↗

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. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.4 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22

Show 2 earlier changesHide 2 earlier changes

ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.1

READMEYes · 229 wordsVignettesNoNEWSYes · 100% structured · does not mention 1.0.1Citation fileNo

Help pages: 11 (6 internal)
Examples that run: 100%5 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 9%

How these are measured

Downloads

2.2K

CRAN downloads in the past year

Rank #22,200 · ~6/day · ~187/mo

Releases R versions

Daily download trend is not available in this view yet.

21930 days

60290 days

2.2K1 year

Compare downloads with other packages →

Also on357 r2u1 autocran

How downloads are counted

Repository

egpivo/quantregglasso ↗Account: egpivo

5Stars

0Forks

0Open issues

0Open PRs

1Releases

49Commits

2Commit identities

group-lassohigh-dimensionalquantile-regressionr-packagercpparmadilloadmmrcpp

License file reads as GPL-2.0 · 49 commits · Last activity 2025-10-07 · 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

2025-03-11 · 42026-07-07 · 5

How these are measured

PracticesBeta

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

Checks run against github.com/egpivo/quantregglasso on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (2)

PR template

The repository owner accepts GitHub Sponsors

Docs source (2)

GitHub Pages site last deployed 2025-10-07 · The repository has a site deploy workflow

Coverage (1)

Coverage reporting (Codecov)

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing QuantRegGLasso adds 19 packages (9 with compiled code, 16 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, isoband 1.5 MB.

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.

How these are counted

Code & Tests

People & History

People (4)

Wen-Ting Wang

Author, Maintainer since 1.0.0 (2024)

Toshio Honda

Author

Ching-Kang Ing

Author

Wei-Ying Wu

Author

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.0.1Latest
record
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
record
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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("QuantRegGLasso")

Format

Wang, W., Honda, T., Ing, C., & Wu, W. (2025). QuantRegGLasso: Adaptively Weighted Group Lasso for Semiparametric Quantile Regression Models (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.QuantRegGLasso

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for QuantRegGLasso version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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