I hope this message finds you well. I have a question about manual and automatic Modal ML in 3-step mixture models in the presence of training data, which I can't seem to get figured out.
We have a four-class solution, in which two of the classes (Classes 1 and 2) have complete training data (i.e., they are completely observed) and two of the classes (Classes 3 or 4) have no training data (i.e., they are completely latent). We are hoping to use these classes in a 3-step mixture modeling application. For our final model we will need to estimate the third step manually, so we wanted to test out a set of simpler models first.
Thus, we attempted to set up a manual latent class regression (i.e., latent classes as outcome) using the misclassification matrix provided by Mplus, and compare it to the automatic R3STEP results. I cannot seem to get the values of the regression coefficients (i.e., the logistic regression of class membership on the predictor of interest) to match up between the manual and automatic results. The class membership proportions match up, indicating that I put the logits in correctly, but the regression coefficients don't.
Thank you so much for helping me puzzle through this. I'm happy to provide any information that would be helpful!