I recently ran a latent class analysis with polytomous outcome variables with the poLCA R package.
The model ran fine converged from 2 to 6 classes (the model converged with more classes but fit indices suggested that fit got worse so I stopped at 6 classes.
While the models converged correctly, it's not able to get the entropy statistic. I normally try to get relative entropy (similar to what MPLus gives) using the code provided in an answer of another question here. It's worked well for me in the past and I was able to get the relative entropy for the models of 2 and 3 classes but gives me a
value when I attempt to run it for 4 classes and above. I found this to be odd so I attempted to just get the entropy statistic poLCA gives me with the command
and that causes Rstudio to just run forever and crash even for 2 and 3 class models that previously got me the relative entropy. What does this mean for the models and is it anything to be concerned about?
I had previously read that BIC is a better measure of model fit for ordered or polytomous outcome variables so I usually never use entropy for anything other than to just report it for the sake of reviewers who are more accustomed to seeing the relative entropy.