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glca

1.4.2

An R Package for Multiple-Group Latent Class Analysis

1packages depend
4.9Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Youngsun KimFirst published 2020-05-2912 releasesCRAN page ↗GitHub ↗

Fits multiple-group latent class analysis (LCA) for exploring differences between populations in the data with a multilevel structure. There are two approaches to reflect group differences in glca: fixed-effect LCA (Bandeen-Roche et al (1997) doi:10.1080/01621459.1997.10473658; Clogg and Goodman (1985) doi:10.2307/270847) and nonparametric random-effect LCA (Vermunt (2003) doi:10.1111/j.0081-1750.2003.t01-1-00131.x).

Install

Health

CRAN checks
13OK
Slowest check: 3.3 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
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

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
89%
Documented parameters
100%
Return-value docs
100%
References docs
30%

Downloads

4.9K
CRAN downloads in the past year
Rank #5,982 · ~13/day · ~407/mo
Daily download trend is not available in this view yet.
38430 days
1.3K90 days
4.9K1 year
Compare downloads with other packages →
Also on397 r2u22 autocran

Repository

Repository
12Stars
2Forks
4Open issues
0Open PRs
0Releases
319Commits
3Contributors
latent-class-analysismultilevel-modelsr-packagecranr
License GPL-3.0 · 319 commits · Last activity 2024-08-27 · 0% stars, 30d

Stars over time

2024-04-20 · 102026-07-07 · 12

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/kim0sun/glca on 2026-08-23.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (4)
MASSRcppgraphicsgrDevices
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.4.2Latest
    2024-08-27 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.4.0
    2023-04-26 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.3.3
    2021-11-02 · diff ↗
  • 1.3.1
    2021-09-05 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.2.2
    2021-03-29 · diff ↗
  • 1.2.1
    2021-03-09 · diff ↗
  • 1.1.0
    2020-10-23 · diff ↗
  • 1.0.2
    2020-10-20 · diff ↗
  • 1.0.1
    2020-09-08 · diff ↗
  • 1.0.0
    2020-09-07 · diff ↗
Show 3 earlier events
  • 0.1.1
    2020-05-30 · diff ↗
  • 0.1.0
    2020-05-29
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-05-29
Total releases
12 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
5.6 KB / 2 files
Download size
1.0 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("glca")
Kim, Y., & Chung, H. (2024). glca: An R Package for Multiple-Group Latent Class Analysis (Version 1.4.2) [Computer software]. https://doi.org/10.32614/CRAN.package.glca

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 glca version 1.4.2 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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