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glca (version 0.1.0)

Latent Class Analysis with Grouped Data

Description

Fits latent class analysis (LCA) including group variable and covariates. The group variable can be handled either by multilevel LCA described in Vermunt (2003) or standard LCA at each level of group variable. The covariates can be incorporated in the form of logistic regression (Bandeen-Roche et al. (1997) ).

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Version

Install

install.packages('glca')

Monthly Downloads

417

Version

0.1.0

License

GPL (>= 2)

Maintainer

Youngsun Kim

Last Published

May 29th, 2020

Functions in glca (0.1.0)

nhanes

National Health and Nutrition Examination Survey 2015-2016
plot.glca

Plots the Estimated Parameters of Fitted glca Model
summary.glca

Summarizes the Estimated Parameters of Fitted glca Model
glca-package

Latent Class Analysis with Grouped Data
glca.gof

Goodness of Fit Tests for Fitted glca Model
item

Specifies Manifest Items for glca
coef.glca

Extracts glca Model Coefficients
glca

Fits Latent Class Models for Data Containing Group Variable and Covariates
brfss

Behavioral Risk Factor Surveillance System 2017 (BRFSS 2017)
gss

General Social Study 2018