Can anybody, please, explain me how many parameter are estimated using randomLCA?
For examples, model "dentistry.lca2random" estimate 1 scale (or variance, b_j) parameter and 2 position parameters (a_cj)? Doesn't it? Do I need at least 4 diagnostic tests for such a model? What happens if I specify options blocksize and byclass? How many diagnostic tests (or rater) I need? Extract from see "randomLCA examples", by Ken Beath. > dentistry.lca2random <- randomLCA(dentistry[, + 1:5], freq = dentistry$freq, initmodel = dentistry.lca2, + nclass = 2, random = TRUE, quadpoints = 31, + probit = TRUE) Thank you. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
