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poLCA (version 1.1)

Polytomous variable Latent Class Analysis

Description

Latent class analysis and latent class regression models for polytomous outcome variables. Also known as latent structure analysis.

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Version

Install

install.packages('poLCA')

Monthly Downloads

5,419

Version

1.1

License

GPL (>= 2)

Maintainer

Drew Linzer

Last Published

April 25th, 2022

Functions in poLCA (1.1)

values

Universalistic vs. particularistic values (sample data)
election

2000 National Election Studies survey (sample data)
print.poLCA

Output an object of class poLCA
rmulti

Random draws from a multinomial distribution
poLCA.reorder

Reorder latent classes in poLCA
poLCA.makeplot.poly

Plot multi-item polytomous response probabilities
gss82

1982 General Social Survey (sample data)
poLCA-package

Latent class analysis and latent class regression models for polytomous outcome variables
cheating

GPA and chronic cheating (sample data)
poLCA.simdata

Create simulated cross-classification data
poLCA.makeplot.dich

Plot multi-item dichotomous response probabilities
poLCA

Latent class analysis of polytomous outcome variables
carcinoma

Diagnoses of carcinoma (sample data)