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OHPL

1.4.2

Ordered Homogeneity Pursuit Lasso for Group Variable Selection

0packages depend
3.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Nan XiaoFirst published 2017-07-175 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 1.8 min · r-devel-linux-x86_64-fedora-clang
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
None
Vignettes
Yes
README
3
Dependencies · direct
Check history
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Downloads

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Repository

Repository
7Stars
1Forks
0Open issues
0Open PRs
7Releases
123Commits
variable-selectionpartial-least-squares-regressionspectroscopylassohigh-dimensional-datahomogeneity-pursuitchemometrics
License GPL-3.0 · 123 commits · +16.7% stars, 30d

Stars over time

2024-07-15 · 62026-07-07 · 7

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
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.

Code & Tests

Code Composition
R 820 (60%)Rd 538 (40%)
Code characteristics
Object systems
S31
Cyclomatic complexity
2.5 median / 7 max
Documented parameters
100%

Test coverage

Line coverage

Expression

Tests / Examples

Functions

10 7 exported

Complexity

2.8 avg / 7 max

Call network

10 nodes / 7 edges

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Lowest coverage

Per-function coverage is not measured for this package yet.

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Release timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.4.2Latest
    2026-04-13 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.4.1
    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
    2019-05-18 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 1.3
    2017-08-08 · diff ↗
  • 1.2
    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
Installed size
not tracked yet
With dependencies
not tracked yet