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slca: Structural Modeling for Multiple Latent Class Variables

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.

Version:1.4.0
Depends:R (≥ 2.10)
Imports:DiagrammeR,magrittr,MASS,Rcpp, stats
LinkingTo:Rcpp
Suggests:testthat (≥ 3.0.0)
Published:2025-09-02
DOI:10.32614/CRAN.package.slca
Author:Youngsun KimORCID iD [aut, cre], Hwan ChungORCID iD [aut]
Maintainer:Youngsun Kim <yskstat at gmail.com>
BugReports:https://github.com/kim0sun/slca/issues
License:GPL (≥ 3)
URL:https://kim0sun.github.io/slca/
NeedsCompilation:yes
Citation:slca citation info
Materials:README
CRAN checks:slca results

Documentation:

Reference manual:slca.html ,slca.pdf

Downloads:

Package source: slca_1.4.0.tar.gz
Windows binaries: r-devel:slca_1.4.0.zip, r-release:slca_1.4.0.zip, r-oldrel:slca_1.4.0.zip
macOS binaries: r-release (arm64):slca_1.4.0.tgz, r-oldrel (arm64):slca_1.4.0.tgz, r-release (x86_64):slca_1.4.0.tgz, r-oldrel (x86_64):slca_1.4.0.tgz
Old sources: slca archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=slcato link to this page.


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