similar to: Rsolnp examples

Dear, I am using the solnp command (package Rsolnp) for a problem with equality and inequality constraints. I am not getting convergence for my problem but apart that I get 1 warning per iteration saying: ?In cbind(temp, funv) : number of rows of result is not a multiple of vector length (arg 1)?. I checked for equality and inequality functions and they seem fine to me. Where this

Hello useRs, I'm using the command "solnp" in package "Rsolnp" to solve a general nonlinear programming problem. But I got an error that " the leading minor of order 15 is not positive definite ". Can anybody tell what may cause this error? Does it have something to do with the starting values? Thanks a lot!!! Xiaoxi [[alternative HTML version

# Hi all, # consider the following code (please, run it: # it's fully working and requires just few minutes # to finish): require(CreditMetrics) require(clusterGeneration) install.packages("Rdonlp2", repos= c("http://R-Forge.R-project.org", getOption("repos"))) install.packages("Rsolnp2", repos= c("http://R-Forge.R-project.org",

The documentation for the arima function in the package stats has a slight error. It references: Ripley, B. D. (2002) Time series in R 1.5.0. R News, 2/1, 2–7. [1]http://www.r-project.org/doc/Rnews/Rnews_2002-1.pdf This should be: Ripley, B. D. (2002) Time series in R 1.5.0. R News, 2/2, 2–7. [2]http://www.r-project.org/doc/Rnews/Rnews_2002-2.pdf Anyone know who I should tell about this?

I wondered if there were standard practices in CRAN for delivery of R source implementing functions in R packages. I has encountered a couple of packages where the gzipped version of source contains very little, primarily the Help files describing the functions in the package. In some cases I can find the source as the value of the function name. Given that these packages are released as GPL,

Apologies if this is the wrong place to ask. I'm not aware of a mail list devoted to database interfaces. Please direct me if so. I am trying to use TSMySQL. It loads RMySQL, and apparent the CRAN version has an .onLoad script which seeks out the local MySQL server. If that fails, the package fails to load. Thing is, I'm trying to access a MySQL database on a remote machine for which

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

I have a JPEG map of temperature data, coded using a given legend where blues are cooler and reds hotter. Is there any preexisting R magic or package which might let me recover the value of the scalar quantity so represented given the RGB values at each point in the picture? After processing, I'd also like to push the results back through the translate to get an RGB JPEG again. Thanks for

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

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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

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

Hi - For a while I've used RExcel without problems to run a repeating portfolio optimization problem where I solve for a portfolio allocation targeting a particular risk, then solve for a different risk, etc. I call the commands with (e.g.) rinterface.Rrun "(R command)" Recently that macro started blowing up, returning #RErrors, and when I try to trace the error I find that it is

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,

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:

> On Mar 1, 2018, at 2:02 PM, Michael Ashton <m.ashton at enduringinvestments.com> wrote: > > Hi - > > For a while I've used RExcel without problems to run a repeating portfolio optimization problem where I solve for a portfolio allocation targeting a particular risk, then solve for a different risk, etc. I call the commands with (e.g.) rinterface.Rrun "(R

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]]

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

R Community - I am attempting to fit a model as described in Hampton, Bossaerts, and O'doherty (J. Neuroscience) 2006. They use a bayesian hidden markov model to model the Reversal Learning data. I have tried using HMM and depmixS4 with no success. My data is a Reversal Learning Task in which there are 3 sets of patterns over 3 blocks. The participant receives incorrect or correct

Dear list, The task view on optimization does not reference a package for non linear constrained optimization problems. Stefan Theussl told me to look at the Rsolnp package, but unfortunately it is not very clear what method is R ported. (The authors ported the matlab code of Yinyu Ye http://www.stanford.edu/~yyye/ <http://www.stanford.edu/%7Eyyye/>) Currently I'm looking for an