Crandore Hub

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.

Versions across snapshots

VersionRepositoryFileSize
1.4.0 rolling linux/jammy R-4.5 slca_1.4.0.tar.gz 4.1 MiB
1.4.0 rolling linux/noble R-4.5 slca_1.4.0.tar.gz 4.1 MiB
1.4.0 rolling source/ R- slca_1.4.0.tar.gz 3.7 MiB
1.4.0 latest linux/jammy R-4.5 slca_1.4.0.tar.gz 4.1 MiB
1.4.0 latest linux/noble R-4.5 slca_1.4.0.tar.gz 4.1 MiB
1.4.0 latest source/ R- slca_1.4.0.tar.gz 3.7 MiB
1.4.0 2026-04-26 source/ R- slca_1.4.0.tar.gz 3.7 MiB
1.4.0 2026-04-23 source/ R- slca_1.4.0.tar.gz 3.7 MiB
1.4.0 2026-04-09 windows/windows R-4.5 slca_1.4.0.zip 4.4 MiB
1.3.0 2025-04-20 source/ R- slca_1.3.0.tar.gz 3.7 MiB

Dependencies (latest)

Imports

LinkingTo

Suggests