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.
- Version1.2.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- slca citation info
- Last release11/01/2024
Documentation
Team
Youngsun Kim
Hwan Chung
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Insights
Last 30 days
This package has been downloaded 201 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,650 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Nov 14, 2024 with 45 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports4 packages
- Suggests1 package
- Linking To1 package