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.
Version: |
1.0.0 |
Depends: |
R (≥ 2.10) |
Imports: |
DiagrammeR, magrittr, MASS, Rcpp, stats |
LinkingTo: |
Rcpp |
Published: |
2024-04-22 |
Author: |
Youngsun Kim
[aut, cre],
Hwan Chung [aut] |
Maintainer: |
Youngsun Kim <yskstat at gmail.com> |
License: |
GPL (≥ 3) |
NeedsCompilation: |
yes |
CRAN checks: |
slca results |
Documentation:
Downloads:
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