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Hello Chris, I am trying to fit a 4 state multi-state model using hidden markov routine in the msm package. 1. initial parameters: twoway4.q <- rbind(c(0, 0.25, 0, 0.25), c(0.166, 0, 0.166, 0.166), c(0, 0.25, 0, 0.25), c(0, 0, 0, 0)) ematrix <- rbind( c(0, 0.01, 0, 0), c(0.01, 0, 0.01,0), c(0, 0.1, 0, 0), c(0, 0, 0, 0)) 2. the model: msm_covariates_sexandage <- msm(state ~

A couple more data points. Current llvm 3.7svn with the two outstanding OPENMP patches can build the openmp support in gdl 0.9.5 (which completely passes its test suite) and apbs 1.4.1's limited openmp support. On Sat, May 2, 2015 at 11:11 PM, Jack Howarth < howarth.mailing.lists at gmail.com> wrote: > On a positive note, current llvm 3.7svn with the two outstanding > OPENMP

Hello! I am performing coupling of chains in MCMC and I need the same value of seed for two chains. I will show demo of what I want: R code, which might show my example is: niter <- 3 nchain <- 2 tmpSeed <- 123 for (i in 1:niter) { # iterations for (j in 1:nchain) { # chains set.seed(tmpSeed) a <- runif(1) cat("iter:", i, "chain:", j,

G'morning What does the error message "Error in x %*% coef(object) : non- conformable arguments" indicate when calculating the response values for newdata with a model from bigglm (in package biglm), and how can I debug it? I am attempting to do Monte Carlo simulations, which may explain the loop in the code that follows. After the code I have included the output, which shows that

This is a bit updated set of chain.c32 changes that simplifies a few things (and in partiter part), fixes few minor issues and adds a few new features. Details are in the following commits, below is the summary and pull details at the end. Shao - any chance to peek over them ? Most of those are relatively simple changes and well tested, though of course something might have slipped my attention.

From: Raphael S. Carvalho <raphael.scarv at gmail.com> MultiFS depends on the availability of partiter to find a partition. Signed-off-by: Raphael S. Carvalho <raphael.scarv at gmail.com> --- com32/chain/Makefile | 2 +- com32/chain/chain.c | 4 +- com32/chain/mangle.c | 4 +- com32/chain/mangle.h | 2 +-

From: "Raphael S. Carvalho" <raphael.scarv at gmail.com> MultiFS depends on the availability of partiter to find a partition. Cc: Gene Cumm <gene.cumm at gmail.com> Signed-off-by: Raphael S. Carvalho <raphael.scarv at gmail.com> Signed-off-by: Paulo Alcantara <pcacjr at zytor.com> --- com32/chain/Makefile | 2 +- com32/chain/chain.c

On Tue, Sep 3, 2019 at 4:49 PM Lyude Paul <lyude at redhat.com> wrote: > > Currently, every single piece of code in amdgpu that loops through > connectors does it incorrectly and doesn't use the proper list iteration > helpers, drm_connector_list_iter_begin() and > drm_connector_list_iter_end(). Yeesh. > > So, do that. In fairness, I think the origin of this code

Hi everyone, According to R reference manual, the nnet function uses the BFGS method of optim to optimize the neural network parameters. I would like, when calling the function nnet to tell the optim function not to produce the tracing information on the progress of the optimization, or at least to reduce the frequency of the reports. I tried the following: a) nnet default > x<-rnorm(20)

Linux supports running the RPMsg protocol over the VirtIO transport protocol, but currently there is only support for VirtIO clients and no support for a VirtIO server. This patch adds a vhost-based RPMsg server implementation. Signed-off-by: Guennadi Liakhovetski <guennadi.liakhovetski at linux.intel.com> --- drivers/vhost/Kconfig | 7 + drivers/vhost/Makefile | 3 +

Linux supports running the RPMsg protocol over the VirtIO transport protocol, but currently there is only support for VirtIO clients and no support for a VirtIO server. This patch adds a vhost-based RPMsg server implementation. Signed-off-by: Guennadi Liakhovetski <guennadi.liakhovetski at linux.intel.com> --- drivers/vhost/Kconfig | 7 + drivers/vhost/Makefile | 3 +

...ent's actual duration + actdur[i]<-(to[i]-ti[i]) + iter<-x[i] + + } + spStep<-paste("sp Value is ", sp) + print(spStep) + iterStep<-paste("iter Value is ", iter) + print(iterStep) + + newrow<-data.frame(sp, iter, ti, to, actdur) + ct=ct+1 + } #END INNER LOOP + ds<-rbi...

Full_Name: Jörg Polzehl Version: 1.5.1 OS: Windows 2000 Submission from: (NULL) (193.175.148.198) When calculating MLE's in a variance component model using constrained optimization, i.e. optim(...,method="L-BFGS-B",...) I observed an inproper behaviour in cases where the likelihood function was evalueted at the constraint. Parameters and value of the function at the constraint

Dear R users, During the the running of DEoptim function which belongs to "DEoptim" package it automatically gives the output like the following: Iteration: 1 bestvalit: 181.379847 bestmemit: 0.226499 1.395852 Iteration: 2 bestvalit: 14.062649 bestmemit: 2.290357 5.597838 Iteration: 3 bestvalit: 14.062649 bestmemit: 2.290357 5.597838 Iteration: 4 bestvalit: 14.062649

Hello, and thanks in advance! What does the error message "Error in x %*% coef(object) : non- conformable arguments" when indicate when predicting values for newdata with a model from bigglm (in package biglm), and how can I debug it? I am attempting to do Monte Carlo simulations, which may explain the somewhat interesting loop which follows. After the code I have included the output,

Currently, every single piece of code in amdgpu that loops through connectors does it incorrectly and doesn't use the proper list iteration helpers, drm_connector_list_iter_begin() and drm_connector_list_iter_end(). Yeesh. So, do that. Cc: Juston Li <juston.li at intel.com> Cc: Imre Deak <imre.deak at intel.com> Cc: Ville Syrjälä <ville.syrjala at linux.intel.com> Cc: Harry

Linux supports running the RPMsg protocol over the VirtIO transport protocol, but currently there is only support for VirtIO clients and no support for VirtIO servers. This patch adds a vhost-based RPMsg server implementation, which makes it possible to use RPMsg over VirtIO between guest VMs and the host. Signed-off-by: Guennadi Liakhovetski <guennadi.liakhovetski at linux.intel.com> ---

I am trying to have prototype perform a request and return to me a javascript object representing the json string returned by the request. I want to iterate over the contents to print each object in the json string. The value of transport.reponseText in onSuccess is what I would expect. But once I try to perform evalJSON() on this text it gives me a bunch of extra function()s when i try to

Hope one of you could help with the following question/problem: We would like to explain the spatial distribution of juvenile fish. We have 2135 records, from 75 vessels (code_tripnr) and 7 to 39 observations for each vessel, hence the random effect for code_tripnr. The offset (‘offsetter’) accounts for the haul duration and sub sampling factor. There are no extreme outliers in lat/lon. The model

Hi all, I have a lengthy 'for' loop and for each loop I want to track the iteration number that is currently going on. For this, I have tried following: > for (i in 1:10) { + DumDat <- rnorm(1000) + cat("iteration:", i, " \n") + } iteration: 1 iteration: 2 iteration: 3 iteration: 4 iteration: 5 iteration: 6 iteration: 7 iteration: 8