slca-package

The <code>slca</code> package provides a comprehensive toolkit for the implementation of Structural Latent Class Models (SLCM). This includes tools for conducting Latent Transition Analysis (LTA), Latent Class Profile Analysis (LCPA), and Joint Latent Class Analysis (JLCA), facilitating the analysis of complex latent structures in statistical data.

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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.

Youngsun Kim

slca

Structural Modeling for Multiple Latent Class Variables

Hwan Chung

slca-package function

Maintainer: Youngsun Kim <a href="/link/yskstat%40gmail.com?package=slca&version=1.3.0" data-mini-rdoc="slca::yskstat@gmail.com">yskstat@gmail.com</a> (<a href="https://orcid.org/0000-0001-8003-1939">ORCID</a>)
Authors:<ul>
<li>Hwan Chung <a href="/link/hwanch%40korea.ac.kr?package=slca&version=1.3.0" data-mini-rdoc="slca::hwanch@korea.ac.kr">hwanch@korea.ac.kr</a> (<a href="https://orcid.org/0000-0002-8969-9086">ORCID</a>)</li>
</ul>

Author

slca: An R Package for Structural Modeling for Multiple Latent Class Variables — slca-package

Maintainer: Youngsun Kim <a href='mailto:yskstat@gmail.com'>yskstat@gmail.com</a> (<a href='https://orcid.org/0000-0001-8003-1939'>ORCID</a>)
Authors:<ul>
<li>Hwan Chung <a href='mailto:hwanch@korea.ac.kr'>hwanch@korea.ac.kr</a> (<a href='https://orcid.org/0000-0002-8969-9086'>ORCID</a>)</li>
</ul>

slca-package: slca: An R Package for Structural Modeling for Multiple Latent Class Variables

Description

Arguments

Author

See Also