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.

Package details

AuthorYoungsun Kim [aut, cre] (ORCID: <https://orcid.org/0000-0001-8003-1939>), Hwan Chung [aut] (ORCID: <https://orcid.org/0000-0002-8969-9086>)
MaintainerYoungsun Kim <yskstat@gmail.com>
LicenseGPL (>= 3)
Version1.4.0
URL https://kim0sun.github.io/slca/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("slca")

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slca documentation built on Sept. 9, 2025, 5:51 p.m.