Structural Modeling for Multiple Latent Class Variables R package slca version 1.4.0 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. Software Depends: R (>= 2.10) Imports: DiagrammeR, magrittr, MASS, Rcpp, stats LinkingTo: Rcpp Suggests: testthat (>= 3.0.0) Youngsun Kim <yskstat@gmail.com> Comprehensive R Archive Network (CRAN) Youngsun Kim [aut, cre] (ORCID: <https://orcid.org/0000-0001-8003-1939>), Hwan Chung [aut] (ORCID: <https://orcid.org/0000-0002-8969-9086>) GPL (>= 3) 2025-09-02 application/tgz https://CRAN.R-project.org/package=slca doi:10.32614/CRAN.package.slca