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.accetta@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]]


