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slca  

Structural Modeling for Multiple Latent Class Variables
View on CRAN: Click here


Download and install slca package within the R console
Install from CRAN:
install.packages("slca")

Install from Github:
library("remotes")
install_github("cran/slca")

Install by package version:
library("remotes")
install_version("slca", "1.4.0")



Attach the package and use:
library("slca")
Maintained by
Youngsun Kim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-04-22
Latest Update: 2024-12-13
Description:
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.
How to cite:
Youngsun Kim (2024). slca: Structural Modeling for Multiple Latent Class Variables. R package version 1.4.0, https://cran.r-project.org/web/packages/slca. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-10-27 13:30), 1.0.0 (2024-04-22 20:42), 1.2.0 (2024-11-01 08:00), 1.3.0 (2024-12-13 04:20), 1.3.2 (2025-08-25 01:10), 1.4.0 (2025-09-02 19:00), 1.4.1 (2026-10-23 08:50)
Other packages that cited slca R package
View slca citation profile
Other R packages that slca depends, imports, suggests or enhances
Complete documentation for slca
Functions, R codes and Examples using the slca R package
Full slca package functions and examples
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