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glca (version 1.0.1)

Latent Class Analysis with Group Variable

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

301

Version

1.0.1

License

GPL-3

Maintainer

Youngsun Kim

Last Published

September 8th, 2020

Functions in glca (1.0.1)

glca

Fits Latent Class Models for Data Containing Group Variable and Covariates
plot.glca

Plots the Estimated Parameters of Fitted glca Model
glca.gof

Goodness of Fit Tests for Fitted glca Model
coef.glca

Extracts glca Model Coefficients
nyts18

National Youth Tobacco Survey (NYTS) 2018 This dataset includes 5 manifest items about abortion and several covariates. From the original 2018 National Youth Tobacco Survey data, the Non Hispanic, white students are selected and schools with 30-50 students were selected. Thus, the dataset has 1743 respondents. The covariates include the sex of the respondents and the school ID to which the respondnets belong, and the level of the corresponding school.
glca-package

Latent Class Analysis with Group Varaible
item

Specifies Manifest Items for glca
summary.glca

Summarizes the Estimated Parameters of Fitted glca Model
gss08

General Social Study (GSS) 2008