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poLCA (version 1.2)

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

6,087

Version

1.2

License

GPL (>= 2)

Maintainer

Drew Linzer

Last Published

May 12th, 2010

Functions in poLCA (1.2)

carcinoma

Diagnoses of carcinoma (sample data)
poLCA.makeplot.dich

Plot multi-item dichotomous response probabilities
print.poLCA

Output an object of class poLCA
poLCA.simdata

Create simulated cross-classification data
poLCA.makeplot.poly

Plot multi-item polytomous response probabilities
cheating

GPA and chronic cheating (sample data)
poLCA.table

Frequency tables of predicted cell counts from latent class analysis
election

2000 National Election Studies survey (sample data)
poLCA

Latent class analysis of polytomous outcome variables
rmulti

Random draws from a multinomial distribution
gss82

1982 General Social Survey (sample data)
poLCA.reorder

Reorder latent classes in poLCA
values

Universalistic vs. particularistic values (sample data)