Polytomous Variable Latent Class Analysis Parallel

Documentation for package ‘poLCAParallel’ version 1.2.6

blrt	Bootstrap likelihood ratio test (non-regression only)
carcinoma	Diagnoses of carcinoma (sample data)
cheating	GPA and chronic cheating (sample data)
election	2000 National Election Studies survey (sample data)
gss82	1982 General Social Survey (sample data)
poLCA	Estimates latent class and latent class regression models for polytomous outcome variables
poLCA.entropy	Entropy of a fitted latent class model
poLCA.posterior	Posterior probabilities from a latent class model
poLCA.predcell	Predicted cell percentages in a latent class model
poLCA.reorder	Reorder latent classes in poLCA
poLCA.simdata	Create simulated cross-classification data
poLCA.table	Frequency tables of predicted cell counts from latent class analysis
poLCAParallel	poLCAParallel: Parallelized Polytomous Variable Latent Class Analysis
poLCAParallel.goodnessfit	Add predcell, Gsq and Chisq to a fitted poLCA object
poLCAParallel.se	Calculates the standard errors and adds them to a fitted poLCA model object
rmulti	Random draws from a multinomial distribution
values	Universalistic vs. particularistic values (sample data)