R: Polytomous Variable Latent Class Analysis Parallel

# Polytomous Variable Latent Class Analysis Parallel

## Documentation for package ‘poLCAParallel’ version 1.2.7

- DESCRIPTION file
- Package README

## Help Pages

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)