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From: Rolf Turner
Date: Saturday, June 24, 2023 at 8:36 PM
To: Heather Lucas
Cc: r-help@r-project.org
Subject: Re: [R] depmixs4 standardError() issue
[You don't often get email from rolftur...@poste
On Tue, 30 May 2023 17:43:31 +
Heather Lucas 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 t
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 t
Dear EJ,
The depmixS4 package has no forecasting or predict functions, but as you
note, the forecast distribution is a relatively straightforward function of
the parameters. The posterior function provides you with the probability
distribution over the states at the end of your sequence and the tr
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 en
Deepak,
On Wed, May 2, 2012 at 7:53 AM, deepakw wrote:
> 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 tes
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 so
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(lis
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
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