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poLCA (version 1.3.1)

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

6,087

Version

1.3.1

License

GPL (>= 2)

Maintainer

Drew Linzer

Last Published

May 22nd, 2011

Functions in poLCA (1.3.1)

plot.poLCA

Plot results of an estimated latent class model
poLCA.predcell

Predicted cell percentages in a latent class model
values

Universalistic vs. particularistic values (sample data)
poLCA.posterior

Posterior probabilities from a latent class model
rmulti

Random draws from a multinomial distribution
carcinoma

Diagnoses of carcinoma (sample data)
poLCA.reorder

Reorder latent classes in poLCA
poLCA.entropy

Entropy of a fitted latent class model
cheating

GPA and chronic cheating (sample data)
election

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

Output an object of class poLCA
gss82

1982 General Social Survey (sample data)
poLCA.table

Frequency tables of predicted cell counts from latent class analysis
poLCA.simdata

Create simulated cross-classification data
poLCA

Latent class analysis of polytomous outcome variables