R Observatory: Metrics for PCLassoReg version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

PCLassoReg

1.0.0Package record

Group Regression Models for Risk Protein Complex Identification

0packages depend

2.2Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Wei LiuCRAN page ↗GitHub ↗Issues ↗

Two protein complex-based group regression models (PCLasso and PCLasso2) for risk protein complex identification. PCLasso is a prognostic model that identifies risk protein complexes associated with survival. PCLasso2 is a classification model that identifies risk protein complexes associated with classes. For more information, see Wang and Liu (2021) doi:10.1093/bib/bbab212.

Install

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

install.packages("PCLassoReg", 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("weiliu123/PCLassoReg")

Development version from weiliu123/PCLassoReg. 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-pclassoreg

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-PCLassoReg

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-PCLassoReg

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

2NOTE11OK

Check messages

NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Namespace in Imports field not imported from:
  ‘survival’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 2.5 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTE2026-09-08
ERROR11 OK, 1 NOTE, 1 ERROR2026-09-07
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMEYes · 161 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 17includes a package overview page
Examples that run: 100%13 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 29%

Vignettes (1)

PCLassoReg HTML

How these are measured

Downloads

2.2K

CRAN downloads in the past year

Rank #22,637 · ~6/day · ~184/mo

Releases R versions

Daily download trend is not available in this view yet.

21630 days

58190 days

2.2K1 year

Compare downloads with other packages →

Also on69 r2u5 autocran

How downloads are counted

Repository

weiliu123/pclassoreg ↗Account: weiliu123

2Stars

0Forks

0Open issues

0Open PRs

0Releases

14Commits

1Commit identities

14 commits · Last activity 2021-10-25 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2022-01-06 · 12026-07-07 · 2

How these are measured

PracticesBeta

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

Checks run against github.com/weiliu123/pclassoreg on 2026-10-21.

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing PCLassoReg adds 1 package (1 with compiled code, 174 KB of source tarballs). Heaviest: grpreg 174 KB.

Depends (1)

R >= 3.5.0

Imports (2)

survivalgrpreg

LinkingTo (0)

none

Suggests (2)

rmarkdown knitr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Wei Liu

Author, Maintainer since 1.0.0 (2021)

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
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
1.0.0Latest
record
2021-10-26 · current release
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-10-26
Total releases: 1 / 5 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 766 KB / 3 files
Download size: 826 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PCLassoReg")

Format

Liu, W. (2021). PCLassoReg: Group Regression Models for Risk Protein Complex Identification (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.PCLassoReg

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 PCLassoReg version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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