Hi, I am looking for a package to estimate regime switching models (states following a markov chain). I found packages for Hidden Markov Models but I am looking for something a little different: In the HMM the conditional distribution of the observations (give the state) is a known distribution (normal or others), while the package I need should allow to set a conditional distribution (given the state) which can be still modelled (for example with mean-reversion or jump diffusion...).
I think the theory under this estimation technique is in "James D. Hamilton, A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle (1989)" Thanks very much for any help! Valentina Bonetti Master student at Bocconi University, Milan [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.