# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "slca" in publications use:' type: software license: GPL-3.0-or-later title: 'slca: Structural Modeling for Multiple Latent Class Variables' version: 1.4.3 doi: 10.18637/jss.v117.i08 identifiers: - type: doi value: 10.32614/CRAN.package.slca abstract: 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) , Latent Class Profile Analysis (LCPA; Hwan Chung et al., 2010) , and Joint Latent Class Analysis (JLCA; Saebom Jeon et al., 2017) , and any other extended models involving multiple latent class variables. Details on the methodology and implementation are given in Kim and Chung (2026) . authors: - family-names: Kim given-names: Youngsun email: yskstat@gmail.com orcid: https://orcid.org/0000-0001-8003-1939 - family-names: Chung given-names: Hwan email: hwanch@korea.ac.kr orcid: https://orcid.org/0000-0002-8969-9086 preferred-citation: type: article title: 'slca: An R Package for Structural Modeling for Multiple Latent Class Variables' authors: - family-names: Kim given-names: Youngsun email: yskstat@gmail.com orcid: https://orcid.org/0000-0001-8003-1939 - family-names: Chung given-names: Hwan email: hwanch@korea.ac.kr orcid: https://orcid.org/0000-0002-8969-9086 journal: Journal of Statistical Software year: '2026' volume: '117' issue: '8' doi: 10.18637/jss.v117.i08 start: '1' end: '52' repository: https://cran.r-universe.dev repository-code: https://github.com/kim0sun/slca commit: 8ef019ec698230d0daf28e5d514fe6ca5dd0de20 url: https://kim0sun.github.io/slca/ date-released: '2026-10-30' contact: - family-names: Kim given-names: Youngsun email: yskstat@gmail.com orcid: https://orcid.org/0000-0001-8003-1939