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Ordered Homogeneity Pursuit Lasso for Group Variable Selection

0packages depend
3.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Ordered homogeneity pursuit lasso (OHPL) algorithm for group variable selection proposed in Lin et al. (2017) DOI:10.1016/j.chemolab.2017.07.004. The OHPL method exploits the homogeneity structure in high-dimensional data and enjoys the grouping effect to select groups of important variables automatically. This feature makes it particularly useful for high-dimensional datasets with strongly correlated variables, such as spectroscopic data.

Changes in 1.4.2

Improvements

  • Fixed HTML validation issues in the Rd documentation (#11).

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-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 OK2026-03-10
Advisories

none known

Documentation

In release 1.4.2
READMEYes · 190 wordsVignettesNoNEWSYes · 100% structured · mentions 1.4.2Citation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
12 (1 internal)includes a package overview page
Examples that run
100%9 run in a plain check
Exported functions with examples
71%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
50%

Downloads

3.6K
CRAN downloads in the past year
Rank #9,675 · ~10/day · ~303/mo
Daily download trend is not available in this view yet.
36630 days
1K90 days
3.6K1 year
Compare downloads with other packages →
Also on79 r2u4 autocran

Repository

7Stars
1Forks
0Open issues
0Open PRs
7Releases
123Commits
1Commit identities
variable-selectionpartial-least-squares-regressionspectroscopylassohigh-dimensional-datahomogeneity-pursuitchemometrics
License file reads as GPL-3.0 · 123 commits · Last activity 2026-04-13 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
39
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-07-15 · 62026-07-07 · 7
PracticesBeta

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

Checks run against github.com/nanxstats/ohpl 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)
Code of conductContributing guide
Docs source (2)
pkgdown

GitHub Pages site last deployed 2026-04-13

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)
AI coding toolsBeta

This repository has an AI review tool set up.

Review tools
  • Copilot code review
    Commits: some accepting its review suggestions, count not recorded
How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing OHPL adds 8 packages (4 with compiled code, 12 MB of source tarballs). Heaviest: pls 4.2 MB, glmnet 2.7 MB, Rcpp 1.8 MB.

Depends (1)
R >= 3.0.2
Imports (3)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.2 (2017)
Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.4.2Latest
    record
    2026-04-13 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.4.1
    record
    2024-07-20 · diff ↗
  • 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
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.4
    record
    2019-05-18 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 1.3
    record
    2017-08-08 · diff ↗
  • 1.2
    record
    2017-07-17
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-07-17
Total releases
5 / 9 yrs
License
GPL-3 | file LICENSE OSI
Minimum R
≥ 3.0.2
Bundled data
579 KB / 3 files
Download size
641 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("OHPL")

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

It points to 10.1016/j.chemolab.2017.07.004.

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 OHPL version 1.4.2 [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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