Difference in MPLUS and MCLUST estimates PreviousNext
Mplus Discussion > Latent Variable Mixture Modeling >
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 Joshua Rosenberg posted on Tuesday, November 14, 2017 - 3:21 pm
Hi, I am using both MPLUS and the widely-used MCLUST (https://cran.r-project.org/web/packages/mclust/index.html) package in R to estimate normal mixture models.

While the results are identical for simple datasets (e.g., using the iris dataset), the results are very different for larger datasets with variables that are not very normally distributed.

In looking as deeply as I can, both seem to use the EM algorithm for estimation, and I am curious as to why the results may be so divergent. Can you help me to understand why these results may be so different?

Thank you.
 Bengt O. Muthen posted on Wednesday, November 15, 2017 - 10:23 am
First make sure you have the same number of parameters in both runs. And the same maximum loglikelihood value.
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