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slca

1.4.0

Structural Modeling for Multiple Latent Class Variables

0packages depend
2.4Kdownloads / year
6.6%test coverage
13/13checks pass

Overview

About
Maintained by Youngsun KimFirst published 2024-04-225 releasesCRAN page ↗GitHub ↗

Provides comprehensive tools for the implementation of Structural Latent Class Models (SLCM), including Latent Transition Analysis (LTA; Linda M. Collins and Stephanie T. Lanza, 2009) doi:10.1002/9780470567333, Latent Class Profile Analysis (LCPA; Hwan Chung et al., 2010) doi:10.1111/j.1467-985x.2010.00674.x, and Joint Latent Class Analysis (JLCA; Saebom Jeon et al., 2017) doi:10.1080/10705511.2017.1340844, and any other extended models involving multiple latent class variables.

Install

Health

CRAN checks
13OK
Slowest check: 4.4 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.01
6.6%
Coverage · measured lines
100%
Documentation · exports
5
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 3 earlier snapshots
  • NOTE2026-04-22
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 476 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
86%
References docs
31%

Downloads

2.4K
CRAN downloads in the past year
Rank #17,976 · ~7/day · ~200/mo
Daily download trend is not available in this view yet.
15030 days
62290 days
2.4K1 year
Compare downloads with other packages →
Also on440 r2u24 autocran

Repository

Repository
1Stars
0Forks
0Open issues
0Open PRs
0Releases
80Commits
2Contributors
License GPL-3.0 · 80 commits · Last activity 2026-08-18 · 0% stars, 30d

Stars over time

2026-04-09 · 12026-07-07 · 1

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/slca 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)

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: claude on 2026-05-07

claude

Most recent: claude on 2026-05-07

Evidence
  • claude: on 2026-05-07 · evidence B, D
How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (5)
LinkingTo (1)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Author
Package 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
  • 1.4.0Latest
    2025-09-02 · current release · diff ↗
  • 1.3.2
    2025-08-25 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.3.0
    2024-12-13 · diff ↗
  • 1.2.0
    2024-11-01 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.0
    2024-04-22
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-04-22
Total releases
5 / 2 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 2.10
Bundled data
3.6 MB / 5 files
Download size
3.8 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("slca")
Kim, Y., & Chung, H. (2025). slca: Structural Modeling for Multiple Latent Class Variables (Version 1.4.0) [Computer software]. https://doi.org/10.32614/CRAN.package.slca

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 slca version 1.4.0 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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