Package: glca 1.4.2

glca: An R Package for Multiple-Group Latent Class Analysis

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>).

Authors:Youngsun Kim [aut, cre], Hwan Chung [aut]

glca_1.4.2.tar.gz
glca_1.4.2.zip(r-4.7)glca_1.4.2.zip(r-4.6)glca_1.4.2.zip(r-4.5)
glca_1.4.2.tgz(r-4.6-x86_64)glca_1.4.2.tgz(r-4.6-arm64)glca_1.4.2.tgz(r-4.5-x86_64)glca_1.4.2.tgz(r-4.5-arm64)
glca_1.4.2.tar.gz(r-4.7-arm64)glca_1.4.2.tar.gz(r-4.7-x86_64)glca_1.4.2.tar.gz(r-4.6-arm64)glca_1.4.2.tar.gz(r-4.6-x86_64)
glca_1.4.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
glca/json (API)

# Install 'glca' in R:
install.packages('glca', repos = c('https://kim0sun.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kim0sun/glca/issues

Pkgdown/docs site:https://kim0sun.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • gss08 - General Social Study (GSS) 2008
  • nyts18 - National Youth Tobacco Survey (NYTS) 2018

On CRAN:

Conda:

latent-class-analysismultilevel-modelscpp

5.94 score 12 stars 1 packages 24 scripts 557 downloads 3 exports 2 dependencies

Last updated from:ff7f8c9474. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK169
linux-devel-x86_64OK179
source / vignettesOK165
linux-release-arm64OK160
linux-release-x86_64OK126
macos-release-arm64OK142
macos-release-x86_64OK277
macos-oldrel-arm64OK140
macos-oldrel-x86_64OK268
windows-develOK98
windows-releaseOK120
windows-oldrelOK115
wasm-releaseOK135

Exports:glcagofglcaitem

Dependencies:MASSRcpp

Introduction to glca package
Usage for glca() | Usage for gofglca() | Applications | Attitude toward abortion | Tobacco smoking behavior
Rendered fromglca.Rmdusingknitr::rmarkdown

Last update: 2024-08-27
Started: 2021-08-14

Model description for glca
Models | Fixed-effect latent class analysis | Random-effect latent class analysis | Estimation | Handling missing data | Finding global maximum | Standard error calculation | Model assessment and selection | Assessing absolute model fit for measuring goodness-of-fit | Assessing relative model fit for exploring group differences | Choosing the numbers of latent classes and latent clusters | Appendix | Score functions and Jacobian matrices
Rendered frommodel-description.Rmdusingknitr::rmarkdown

Last update: 2022-01-18
Started: 2021-08-31