Dear Nglthu, Not sure what you mean by scale(x1,x2), this:
library(depmixS4) data(speed) x1 <- rnorm(nrow(speed)) x2 <- rnorm(nrow(speed)) scale(x1,x2) produces an error ... but, the use of two predictors or covariates on the transition matrix is possible: speed$x2 <- x2 mod1 <- depmix(list(rt~1,corr~1),data=speed,transition=~Pacc+x2,nstates=2, family=list(gaussian(),multinomial("identity")),ntimes=c(168,134,137)) set.seed(3) fmod1 <- fit(mod1) Above code produces sensible results. Hth, Ingmar Visser On Fri, Apr 20, 2012 at 5:14 AM, nglthu <ngl...@gmail.com> wrote: > Dear helpers, > is there any possible that transition (in depmixS4) is in scale of two > variable, e.g transition=~scale(x1,x2)? > If it can be, how transition of two variable (covariate time) can be worked > in depmixS4-hidden markov model for time series. > > Many thanks, > nglthu > > -- > View this message in context: > http://r.789695.n4.nabble.com/depmixS4-transition-tp4572726p4572726.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. > [[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.