Hi, I have a 15 years of monthly return data (180 observations) from instruments that have non-normal return distributions. Thus, I would like to fit a mixture of normal distribution to each of the series. So, that I would be able to simulate from the marginal distributions like this:
asset.1<-exp(c(rnorm(500,-0.07,0.02),rnorm(9500,0.05,0.05)))-1 My problem is that I have tried to use Google and go through some packages (eg mixtools & mclust) but haven't been able to find a function to fit the mixture of normals. I would like to have two different states of world and then get the probabilities and the mean and sigma in those states (as in the example above). I am newbie in this subject so if someone could point me a R function for this, I'd really appreciate it... br, John [[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.