I've been trying to run a hidden Markov model with 7 time points in version 3.12. My outcomes are dichotomous and I specified measurement equality over time. Unlike Example 8.12, there are no constraints on the transition matrix.
The model appears to run fine. However, the output is incomplete (it stops after the title "ODDS RATIO RESULTS") and the program does not create my output file with CPROBABILITIES. When I delete the last time point, the model runs fine and the output is complete.
I have recently been applying Markov analysis to my data and have found the optimal model chosen is a two chain hiddden markov model with measurement error. How do i properly assess the transitional probabilites for each individual chain? The output only provides me with the the transition and stability probabilities for the population as a whole, not divided by chain. Do i derive this by cross-tabulation of the conditional probabilites output, stratified by chain? Is this correct?? Thanks in advance,