Predict, simulate, and graph aML results

The multilevel and multiprocess software aML is quite amazing. It handles a much greater number of models than most other packages, and it is fast to reach convergence given suitable starting values. However, it does not have lots of facilities for results presentation.

I have used this software for several of my own research. I think it will be highly desirable to streamline the communication between aML and Stata or R. I can think of the following steps:

1. Estimate a mode in aML;
2. Extract point estimates and variance/covariance from the output file using Python;
3. Transfer the extracted results to R;
4. Predict, simulate, and graph the results with Zelig or other facilities built into R.