Hi everyone / poLCA gurus,
I'm facing a problem regarding conditional dependence and poLCA.
Using a few data sets composed of only 1's and 2's, i'm able to do a
latent
class analysis for independent data columns using poLCA.
The commands I use to do this are something like,
bcs = read.csv("data.csv", header=T);
response = data.frame(bcs[0:5]);
names(response)
attach(response)
f = cbind(A,B,C,D,E)~1
poLCA(f,data=response, nclass=2);
However, my question is, how must I modify this for conditional dependence
? assuming that some columns are dependent or each other, and that instead
of just 1 and 2, dependent columns have been merged and may bear values
1,2,3 or 4, how should I modify the above command for latent class analysis
?
Please advice...
--
Thanks and Best Regards,
Suranga
[[alternative HTML version deleted]]