Can someone give me a pointer to where I should be looking for markov chain resources in R?
Longer term, I am also interested in the question of whether explanatory variables can coupled to a probability transition matrix to assist in predicting the next state that a an object/system will go into. I'm imagining that this gets kind of ugly when you have nominal data (i.e., the next state) that you are trying to predict using a transition matrix and you want to try to boost your predictive power by incorporating other regressor variables. Can this be done, how, and is there something in R that does this? Another issue is how to assess the potential usefulness of the probability transition matrix and the corresponding frequency matrix. If your frequency matrix only has a few observations in each cell then it is not too useful for predictive purposes. Also, if the probabilties are close to .50 in all the cells, again it is not useful because it is not "informative" about the next state. Is their research that speaks to the issue of assessing the "utility" or "informativeness" of the transition matrix for predictive purposes. Regards, Paul Meagher ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help