Hi all, I have a question, is there any R package dealing with latent transition analysis with both categorical and continuous indicators? So far what I found from GOOGLE are only packages dealing with latent class analysis. So what about the longitudinal situation? Any way we could look at the transition from one class to another across time points? Thank you very much. ya [[alternative HTML version deleted]]
Have you manually searched the CRAN Task Views? Sometimes you'll find something there that searches won't pick up. -- Bert On Thu, Jun 14, 2012 at 4:12 AM, ya <xinxi813 at 163.com> wrote:> Hi all, > > I have a question, is there any R package dealing with latent transition analysis with both categorical and continuous indicators? So far what I found from GOOGLE are only packages dealing with latent class analysis. So what about the longitudinal situation? Any way we could look at the transition from one class to another across time points? > > Thank you very much. > > > > > ya > ? ? ? ?[[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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.-- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm
[plug to follow] depmixS4 fits hidden/latent Markov models on (mixed mode) multivariate longitudinal data (and it can be found on the cluster task view). hth, Ingmar On Thu, Jun 14, 2012 at 1:12 PM, ya <xinxi813@163.com> wrote:> Hi all, > > I have a question, is there any R package dealing with latent transition > analysis with both categorical and continuous indicators? So far what I > found from GOOGLE are only packages dealing with latent class analysis. So > what about the longitudinal situation? Any way we could look at the > transition from one class to another across time points? > > Thank you very much. > > > > > ya > [[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. >[[alternative HTML version deleted]]