Science Score: 26.0%
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○CITATION.cff file
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○.zenodo.json file
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Found 3 DOI reference(s) in README -
○Academic publication links
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○Scientific vocabulary similarity
Low similarity (16.6%) to scientific vocabulary
Keywords
cran
latent-class-analysis
multilevel-models
r
r-package
Last synced: 9 months ago
·
JSON representation
Repository
An R Package for Multiple-Group Latent Class Analysis
Basic Info
- Host: GitHub
- Owner: kim0sun
- License: gpl-3.0
- Language: R
- Default Branch: master
- Homepage: https://kim0sun.github.io/glca/
- Size: 18.9 MB
Statistics
- Stars: 10
- Watchers: 2
- Forks: 2
- Open Issues: 4
- Releases: 0
Topics
cran
latent-class-analysis
multilevel-models
r
r-package
Created over 6 years ago
· Last pushed almost 2 years ago
Metadata Files
Readme
License
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "figures/README-",
out.width = "49%"
)
```
# `glca`: An **R** Package for Multiple-Group Latent Class Analysis 
[](https://CRAN.R-project.org/package=glca)
[](https://r-pkg.org/pkg/glca)
[](https://github.com/kim0sun/glca/actions)
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 ; Clogg and Goodman, 1985 ) and nonparametric random-effect LCA (Vermunt, 2003 ).
## Introduction
Latent class analysis (LCA) is one of the most popular discrete mixture models for classifying individuals based on their responses to multiple manifest items. When there are existing subgroups in the data representing different populations, researchers are often interested in comparing certain aspects of latent class structure across these groups in LCA approach. In multiple-group LCA models, individuals are dependent owing to multilevel data structure, where observation units (i.e., individuals) are nested within a higher-level unit (i.e., group). This paper describes the implementation of multiple-group LCA in the **R** package `glca` for exploring differences in latent class structure between populations, taking multilevel data structure into account. The package `glca` deals with the fixed effect LCA and the random effect LCA; the former can be applied in the situation where populations are segmented by the observed group variable itself, whereas the latter can be used when there are too many levels in the group variable to make a meaningful group comparisons.
## Installation
You can install the released version of glca from [CRAN](https://CRAN.R-project.org) with:
``` {r, eval = FALSE}
install.packages("glca")
```
And the development version from [GitHub](https://github.com/) with:
``` {r, eval = FALSE}
# install.packages("devtools")
devtools::install_github("kim0sun/glca")
```
Owner
- Name: Youngsun Kim
- Login: kim0sun
- Kind: user
- Location: Seoul, Korea
- Website: kim0sun.github.io
- Repositories: 2
- Profile: https://github.com/kim0sun
latent variable, finite mixture, topic models
GitHub Events
Total
- Issues event: 4
- Issue comment event: 5
Last Year
- Issues event: 4
- Issue comment event: 5
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| kim0sun | k****n@k****r | 292 |
| kim0sun | 3****n | 3 |
| Youngsun Kim | y****m@H****l | 2 |
Committer Domains (Top 20 + Academic)
korea.ac.kr: 1
Issues and Pull Requests
Last synced: over 2 years ago
All Time
- Total issues: 15
- Total pull requests: 0
- Average time to close issues: 3 months
- Average time to close pull requests: N/A
- Total issue authors: 12
- Total pull request authors: 0
- Average comments per issue: 2.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 5
- Pull requests: 0
- Average time to close issues: 3 months
- Average time to close pull requests: N/A
- Issue authors: 4
- Pull request authors: 0
- Average comments per issue: 1.2
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- ghost (3)
- tbmpereira (2)
- thorpej21 (1)
- Crismoc (1)
- Wentemi (1)
- ruser1234 (1)
- mikgoo (1)
- AGSCL (1)
- Barryacoughlan (1)
- VLounek (1)
- Chuyueying (1)
- andersbacklund (1)
- theoharisk18 (1)
- sam-crawley (1)
- AlexGareau (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 390 last-month
- Total dependent packages: 0
- Total dependent repositories: 2
- Total versions: 12
- Total maintainers: 1
cran.r-project.org: glca
An R Package for Multiple-Group Latent Class Analysis
- Homepage: https://kim0sun.github.io/glca/
- Documentation: http://cran.r-project.org/web/packages/glca/glca.pdf
- License: GPL-3
-
Latest release: 1.4.2
published almost 2 years ago
Rankings
Stargazers count: 18.3%
Dependent repos count: 19.3%
Forks count: 21.0%
Average: 23.7%
Dependent packages count: 28.8%
Downloads: 31.2%
Maintainers (1)
Last synced:
10 months ago
Dependencies
DESCRIPTION
cran
- R >= 3.5.0 depends
- MASS * imports
- Rcpp * imports
- grDevices * imports
- graphics * imports
- bookdown * suggests
- knitr * suggests
- rmarkdown * suggests
.github/workflows/R-CMD-check.yaml
actions
- actions/checkout v2 composite
- actions/upload-artifact main composite
- r-lib/actions/check-r-package v1 composite
- r-lib/actions/setup-pandoc v1 composite
- r-lib/actions/setup-r v1 composite
- r-lib/actions/setup-r-dependencies v1 composite