Skip to content

projectLSA

0.0.9

Shiny Application for Latent Structure Analysis with a Graphical User Interface

0packages depend
2.9Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Hasan DjiduFirst published 2025-12-106 releasesCRAN page ↗GitHub ↗

Provides an interactive Shiny-based toolkit for conducting latent structure analyses, including Latent Profile Analysis (LPA), Latent Class Analysis (LCA), Latent Trait Analysis (LTA/IRT), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). The implementation is grounded in established methodological frameworks: LPA is supported through 'tidyLPA' (Rosenberg et al., 2018) doi:10.21105/joss.00978, LCA through 'poLCA' (Linzer & Lewis, 2011) doi:10.32614/CRAN.package.poLCA & 'glca' (Kim & Kim, 2024) doi:10.32614/CRAN.package.glca, LTA/IRT via 'mirt' (Chalmers, 2012) doi:10.18637/jss.v048.i06, and EFA via 'psych' (Revelle, 2025). SEM and CFA functionalities build upon the 'lavaan' framework (Rosseel, 2012) doi:10.18637/jss.v048.i02. Users can upload datasets or use built-in examples, fit models, compare fit indices, visualize results, and export outputs without programming.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
Slowest check: 1.3 min · r-release-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
36
Dependencies · direct
Check history
  • NOTE2026-06-09
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    10 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-04-25
    10 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-03-10
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 456 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
not tracked
Return-value docs
100%
References docs
0%

Downloads

2.9K
CRAN downloads in the past year
Rank #9,719 · ~8/day · ~239/mo
Daily download trend is not available in this view yet.
20530 days
97590 days
2.9K1 year
Compare downloads with other packages →
Also on82 r2u

Repository

Repository
1Stars
1Forks
0Open issues
0Open PRs
0Releases
109Commits
1Contributors
109 commits · Last activity 2026-08-12 · 0% stars, 30d

Stars over time

2026-01-06 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/hdmeasure/projectlsa on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Docs source (1)
README.Rmd
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (3)
Contributor
Contributor
Contributor
Package Timeline

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

  • 0.0.9Latest
    2026-05-09 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.0.8
    2026-02-08 · diff ↗
  • 0.0.7
    2026-01-30 · diff ↗
  • 0.0.6
    2026-01-16 · diff ↗
  • 0.0.5
    2026-01-08 · diff ↗
  • 0.0.3
    2025-12-10
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-12-10
Total releases
6 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.0.0
Download size
194 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("projectLSA")
Djidu, H., Haryanto, Hadi, S., & Retnawati, H. (2026). projectLSA: Shiny Application for Latent Structure Analysis with a Graphical User Interface (Version 0.0.9) [Computer software]. https://doi.org/10.32614/CRAN.package.projectLSA

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 projectLSA version 0.0.9 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy