poLCA-package | Latent class analysis and latent class regression models for polytomous outcome variables |
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 | Latent class analysis of polytomous outcome variables |
poLCA.compress | Internal functions for poLCA |
poLCA.dLL2dBeta.C | Internal functions for poLCA |
poLCA.makeplot.dich | Plot multi-item dichotomous response probabilities |
poLCA.makeplot.poly | Plot multi-item polytomous response probabilities |
poLCA.postClass.C | Internal functions for poLCA |
poLCA.probHat.C | Internal functions for poLCA |
poLCA.simdata | Create simulated cross-classification data |
poLCA.unvectorize | Internal functions for poLCA |
poLCA.updatePrior | Internal functions for poLCA |
poLCA.vectorize | Internal functions for poLCA |
poLCA.ylik.C | Internal functions for poLCA |
rmulti | Random draws from a multinomial distribution |
values | Universalistic vs. particularistic values (sample data) |