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: 1.0.0
Depends: R (≥ 2.10)
Imports: DiagrammeR, magrittr, MASS, Rcpp, stats
LinkingTo: Rcpp
Published: 2024-04-22
DOI: 10.32614/CRAN.package.slca
Author: Youngsun Kim ORCID iD [aut, cre], Hwan Chung ORCID iD [aut]
Maintainer: Youngsun Kim <yskstat at>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: slca results


Reference manual: slca.pdf


Package source: slca_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): slca_1.0.0.tgz, r-oldrel (arm64): slca_1.0.0.tgz, r-release (x86_64): slca_1.0.0.tgz, r-oldrel (x86_64): slca_1.0.0.tgz


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