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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 |
Maintainer: | Youngsun Kim <yskstat at gmail.com> |
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: slca_1.0.0.zip, r-release: slca_1.0.0.zip, r-oldrel: slca_1.0.0.zip |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.