similar to: depmixS4 1.0-0 on CRAN & vignette/paper on jstatsoft.org

On Tue, 30 May 2023 17:43:31 +0000 Heather Lucas <hlucas2 at lsu.edu> wrote: > Hello, > > I've been enjoying using the "Mixture and Hidden Markov Models in R" > by Visser & Speekenbrink to learn how to apply these analyses to my > own data using depmixS4. > > I currently have a fitted 4-state mixture model with three emissions > variables and one

Hello, I've been enjoying using the "Mixture and Hidden Markov Models in R" by Visser & Speekenbrink to learn how to apply these analyses to my own data using depmixS4. I currently have a fitted 4-state mixture model with three emissions variables and one binomial covariate (HS). I am trying to compute confidence intervals using the following code, where fmms4s is the model:

Hi I am trying to use depmixS4 package. Based on the documentation, it seems that depmix allows one to fit an HMM model based on a training data with time-varying co-variates. However, I did not find any routines which can help test the accuracy on the fitted HMM model on out-of-sample data. Can someone confirm if that is indeed the case? Also are there any alternate packages for the same? Thanks

Hi, When running R CMD check I'm getting a number of errors that I don't quite follow and don't know where to start looking for an answer, any hints appreciated. R CMD check trunk * checking for working latex ... OK * using log directory '/Users/ivisser/Documents/projects/ depmixProject/depmixNew/rforge/depmix/trunk.Rcheck' * using R version 2.6.2 (2008-02-08) * checking

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

Package news (see below for general description of functionality) depmixS4 version 1.3-0 has been released on CRAN. See the NEWS file for an overview of all changes. The most important user-visible changes are: 1) more compact pretty-printing of parameters in print/summary of (dep)mix objects (following lm/glm style of presenting results) 2) some speed improvements in the EM algorithm, most

Package news (see below for general description of functionality) depmixS4 version 1.3-0 has been released on CRAN. See the NEWS file for an overview of all changes. The most important user-visible changes are: 1) more compact pretty-printing of parameters in print/summary of (dep)mix objects (following lm/glm style of presenting results) 2) some speed improvements in the EM algorithm, most

Hello, I have initial parameters for HMM model and I want to use depmixS4 package. The parameters are in the form intial_prob_matrix=matrix(c(0.07614213, 0.45177665, 0.47208122), nrow=1, ncol=3, byrow = TRUE) transition_matrix=matrix(c(0.46666667,0.46666667,0.06666667, 0.06741573,0.5617978,0.37078652, 0.02173913,0.3478261,0.63043478), nrow = 3, ncol =

I am applying a hidden markov model on joint multivariate gaussian distribution for 2 vectors. I am using the depmixS4 package in R. Specifically, I am using the following code: mod<-depmix(list(response = mom ~ mkt + p0 + p1, mkt~1), data = regvar, nstates = 2, family = list(gaussian(), gaussian()),instart = delta, trstart=Pi) It seems that depmixS4 doesnt output the covariance estimates

Can anyone suggest a package or code for modeling a hysteresis process in R? I'm currently modeling a certain dataset with a GAM using mgcv, something like gam(y~ s(x, by=z) + z, family = Gamma(link=log),data=data) and getting fits with about 9 estimated degrees of freedom in the smooth for each value of z. FWIW, z is a treatment applied to a system which should have made an improvement,

We are trying to build a human respiration model. Preliminary analysis of some breathing signals has shown that humans breathe through switching among a finite number of patterns. Hidden Markov seems to be the right approach. Since most of our code is written in R scripting language, finding an R package implementing an HMM that we can use for our prototype would be very helpful. I have been

Hi All, I was updating my help pages for a package when all of a sudden I got the following error when using R CMD INSTALL: >>> Building/Updating help pages for package 'depmix' Formats: text html latex example Error in load(zfile, envir = envir) : error reading from connection Removing all the help files makes the error disappear, but only removing the help file that I

I am running a latent class regression with 3 nominal and 2 ordinal variables using depmixS4 but the available response models do not include one for ordinal response.  How do I go about this?   Penny [[alternative HTML version deleted]]

I am getting started with using the depmixS4 package. First, I would like to see I am very impressed with its speed and flexibility. The question I have is regarding predicting on new data. I want to fit the model on some sequences with observed responses, and then make predictions on the right end of the sequences where the responses are not observed. I see no prediction functionality anywhere,

Dear R-helpers, I made the package depmix for fitting hidden markov models. After updating R to version 2.2.0 on my PC I got the following error when installing the package from a local directory. One of the C files includes the R.h file which apparently causes problems. I call R CMD INSTALL --docs="normal" depmix and I get the following error: make[3]: *** No rule to make target

Dear vthokienj, One approach would be to write a plug-in package for the Rcmdr package. An advantage is that data input (at least of rectangular data sets), data management, etc., are already taken care of. There are about 40 such plug-ins currently on CRAN, most with names beginning with "RcmdrPlugin.". The GUI toolkit that's used is Tcl/Tk and the tcltk package is part of the

=== actuar: An R Package for Actuarial Science === We are pleased to announce the immediate availability of version 1.0-0 of actuar. This release follows publication of our papers in JSS (*) and R News (**). From the NEWS file: Version 1.0-0 ============= NEW FEATURES o Improved support for regression credibility models. There is now an option to make the computations with the

=== actuar: An R Package for Actuarial Science === We are pleased to announce the immediate availability of version 1.0-0 of actuar. This release follows publication of our papers in JSS (*) and R News (**). From the NEWS file: Version 1.0-0 ============= NEW FEATURES o Improved support for regression credibility models. There is now an option to make the computations with the

Hello all, I am using an existing Fortran routine that takes a single character string as argument. The routine echoes the argument that I provide. When working on OS X 3.9 there seems to be no problem, ie the Fortran routine nicely echoes my argument. However, I compiled the same package on a PC (using all the tools provided in the R for windows faq), and the routine only echoes the first letter

Hi Saurav! On Sun, Jul 12, 2009 at 6:06 PM, Pathak, Saurav<s.pathak08 at imperial.ac.uk> wrote: > I am new to R, I have to do a 2 step Heckman model, my selection equation is > below which I was successful in running but I am unable to proceed further, > > > > I have so far used the following command > > glm(formula = s ~ age + gender + gemedu + gemhinc + es_gdppc +