search for: lca2random

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...

...) > library(randomLCA) > #random parameter latent class model > trt.lca1random <- randomLCA(trt[,1:5],initmodel=0,nclass=1,random=TRUE,quadpoints=41,probit=TRUE) Error in randomLCA(trt[, 1:5], initmodel = 0, nclass = 1, random = TRUE, : patterns must consist of either 0 or 1 > trt.lca2random <- randomLCA(trt[,1:5],initmodel=0,nclass=2,random=TRUE,quadpoints=41,probit=TRUE) Error in randomLCA(trt[, 1:5], initmodel = 0, nclass = 2, random = TRUE, : patterns must consist of either 0 or 1 Thanks, Bismark [[alternative HTML version deleted]]