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slca (version 1.0.0)

Structural Modeling for Multiple Latent Class Variables

Description

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) , Latent Class Profile Analysis (LCPA; Hwan Chung et al., 2010) , and Joint Latent Class Analysis (JLCA; Saebom Jeon et al., 2017) , and any other extended models involving multiple latent class variables.

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Version

Install

install.packages('slca')

Monthly Downloads

149

Version

1.0.0

License

GPL (>= 3)

Maintainer

Youngsun Kim

Last Published

April 22nd, 2024

Functions in slca (1.0.0)

estimate

Estimating Parameters of slca Object
gss7677

GSS 1976-1977 Data on Social Status and Tolerance towards Minorities
gof

Goodness of Fit Tests for Estimated slca Model
confint.slca

Confidence Intervals for Model Parameters
param

Printing Estimated Parameters of slca Object
regress

Regress Exogenous Variables on Latent Variables
nlsy97

NLSY97 Substance Use Data
reorder.slca

Reorder Latent Class Membership of Class Variables
nlsy_jlcpa

JLCPA Model Estimated with NLSY97 Data
compare

Comparing Two Estimated slca Models
slca

Construct Structural Latent Class Model
slcaControl

Control Parameters for slca Estimation
simulate.slca

Simulate data from slca model.
slca-package

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