use str(dentistry.lca2) to see all values of the output; among them a value np for number of parameters, in this case 5*2 for the 5 binary items of 2 classes + 1 for the class proportions, total 11. hth, Ingmar
On Mon, Aug 27, 2012 at 6:05 PM, Gabriele Accetta < gabriele.acce...@gmail.com> wrote: > 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. > [[alternative HTML version deleted]] ______________________________________________ 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.
