similar to: covariance matrix of model parameters

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 =

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

depmixS4 has reached some form of maturity and therefore we have bumped its version number to 1.0-0 which is now on CRAN: http://cran.r-project.org/web/packages/depmixS4/index.html depmixS4 fits hidden (latent) Markov models of multivariate, mixed categorical and continuous data, otherwise known as dependent mixture models. Responses or observations can be modeled using GLMs, and additionally

depmixS4 has reached some form of maturity and therefore we have bumped its version number to 1.0-0 which is now on CRAN: http://cran.r-project.org/web/packages/depmixS4/index.html depmixS4 fits hidden (latent) Markov models of multivariate, mixed categorical and continuous data, otherwise known as dependent mixture models. Responses or observations can be modeled using GLMs, and additionally

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

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,

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

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

Thank you for your reply. First I am using 'ad' backend (DC config is in first post below) and until I did a fresh install of a new DC Samba 4.8.2 on Ubuntu 18.04 the user/group id, shell, and home directory paths were correctly obtained from the RSAT UNIX Attribute Tab settings on the DC.  It seems that is still working for users already created with existing home directories on the

Thank You Louis and Rowland for your help, Seems samba version in Ubuntu 18.04 was the key, (Samba version 4.7.6-Ubuntu). I was using an old smb.conf that has always worked on my Ubuntu 16.04 workstations: [global] realm = XX.DOMAIN.COM workgroup = XX security = ADS dedicated keytab file = /etc/krb5.keytab kerberos method = secrets and keytab idmap config *:backend = tdb idmap

Sorry for the delayed response, Louis, I'm not sure how to tell about having "cifs/UPN" - Please advise. I was able to mount with sec=krb5 after the user is logged in but that does not help getting "home" mounted during the login. But here is where I am now: I have been able to pam_mount "home" during the login but could not get the ACLs during the mount

Rowland, How would I find this info? Check if 'Rachel Jones' has a 'gecos' attribute in AD. You seem to be being denied access to '.Xauthority', was it created on another machine ? No However, I am sure '-13' usually means incorrect password. I am sure the password is correct, the /mnt/home/rachel folder is created but the user files are not created because

I am confused by obtaining different results when testing for unit root when using different packages. I have 2625 price entries for which I want to determine whether they exhibit unit root. First I test using adf.test from tseries package by running: > adf.test(P, k=30) Augmented Dickey-Fuller Test data: P Dickey-Fuller = -4.685, Lag order = 30, p-value = 0.01 alternative hypothesis:

When I try to write to my directory, it says: access denied. smb.conf (v3.0): [global] workgroup = AD security = ADS realm = AD.COMPANY.COM encrypt passwords = yes preferred master = no log level = 3 auth methods = winbind winbind enum users = yes winbind enum groups = yes winbind use default domain = yes

------------------------------ ------------------------------ ------------------------------ ------------------------------ ------------------------------ -------------------------- Call For Papers ICMarkTech'20 - International Conference on Marketing and Technologies of 2020 8 to 10 October 2020 in Lisbon, Portugal http://www.icmarktech.org

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

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

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

* Published in IEEE Xplore * Google Scholar H5-Index = 22 ------------------------------ ---- Doctoral Symposium of CISTI'2023 ------------------------------ ------------ CISTI'2023 - 18th Iberian Conference on Information Systems and Technologies 20 - 23 of June 2023, University of Aveiro, Aveiro, Portugal http://cisti.eu/