Structural Modeling for Multiple Latent Class Variables
Compare Two Fitted slca Models
Confidence Intervals for Model Parameters
Estimate Parameters of an slca Object
Goodness-of-Fit Test for Fitted slca Model
Print Estimated Parameters of an slcafit Object
Model Predictions for Estimated slca Object
Control Parameters for slca Estimation
Regress Exogenous Variables on Latent Variables
Reorder Latent Class Membership of Latent Class Variables
Simulate Data from an slca Model
slca: An R Package for Structural Modeling for Multiple Latent Class V...
Construct Structural Latent Class Model
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.