On Tue, 2009-01-20 at 20:11 +0100, Andreas Tille wrote: > r-cran-msm (#512405) > > GNU R Multi-state Markov and hidden Markov models in continuous > time > Functions for fitting general continuous-time Markov and hidden > Markov > multi-state models to longitudinal data. Both Markov transition > rates and the > hidden Markov output process can be modelled in terms of > covariates. A variety > of observation schemes are supported, including processes > observed at arbitrary > times, completely-observed processes, and censored states. > > --> Statistics > I'm unsure about Depends or Suggests as well but in the case > of > statistiscs it is we have a lot of R packages anyway - so I'd > rather tend to Depends.
Terrific. I use this package, and we have also implemented a similar kind of model that can incorporate path dependence (time in state, time in previous states) as a covariate. We will release it eventually, though it may be awhile. Ross Boylan -- To UNSUBSCRIBE, email to [email protected] with a subject of "unsubscribe". Trouble? Contact [email protected]
