search for: minqa

Hej, Calling newuoa (from the minqa package) makes R crash when the package rgl is loaded first. This however only on certain selected data. The data used for testing (saved to 'bugs.R'): xvals = c(1,2,4,5,7,8,9,10,11,12,14,15,16,18,19,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36) yvals = c(857.7597,975.8624,978.2655,...

...hen upgraded to Jaunty, but put Jaunty on a different drive. I continue to be able to boot Hardy when I wish. I soft-linked my R working area i.e., /home/john/Rstuff ----> /media/lnx804/home/john/Rstuff I can still build packages fine, but get john at nsrv-jaunty:~/jtest$ R CMD check minqa * checking for working pdflatex ... OK * using log directory '/media/store2/jn/test/minqa.Rcheck' * using R version 2.10.1 (2009-12-14) * using session charset: UTF-8 * checking for file 'minqa/DESCRIPTION' ... OK * checking extension type ... Package * this is package 'minqa...

...home directory's version. When I changed a package and tried R CMD check I got the following. > * checking whether the package can be loaded ... ERROR > Error in dyn.load(file, DLLpath = DLLpath, ...) : > unable to load shared library '/media/lnx804/home/john/R-optimtest/work/minqa.Rcheck/minqa/libs/minqa.so': > /media/lnx804/home/john/R-optimtest/work/minqa.Rcheck/minqa/libs/minqa.so: failed to map segment from shared object: Operation not permitted > Error : .onLoad failed in 'loadNamespace' for 'minqa' > Error: package/namespace load failed f...

Hi! We?ve recently come across an example where a package (minqa) creates an Rcpp Function object in a static variable. This causes R_ReleaseObject to be called by the destructor at a very late point in time - as part of the system exit function: static Function cf("c"); I?m wondering if that is considered to be ?safe?? Is the R engine supposed to st...

...ther documentation" -> "Ecdat::AverageIncomeModels". I've found other optimizers that will get around the problem in this case but none that performs as well as optim with many other problems. Thanks, Spencer Graves p.s. I've also tested bobyqa{minqa} or nloptr{nloptr}, recommended in a vignette in the lme4 package. These did better than optim in this example but worse in others I tried.

Dear r-devel readers, I have a pretty deep problem with package loading and unloading in the development version of the lme4 package <https://github.com/lme4/lme4>; it's not boiled down to a properly minimal example yet (this has been difficult), but I am posting anyway in the hopes that someone has ideas about how to proceed farther, since I'm nearly stumped. Apologies in advance

Hi there, Can anyone help with this? I tried to install.packages('lme4') and got lots of warning and error messages, starting with the one in the subject and ending with failed compilation. The same went for the 'minqa' package which is needed by lme4. I have R version 3.0.2 running on Fedora 20. "yum update R" says that's the latest available. Is my system missing something necessary for compilation? cheers, Steve [[alternative HTML version deleted]]

...; > > I've found other optimizers that will get around the problem > in this case but none that performs as well as optim with many > other problems. > > > Thanks, > Spencer Graves > > > p.s. I've also tested bobyqa{minqa} or nloptr{nloptr}, > recommended in a vignette in the lme4 package. These did better > than optim in this example but worse in others I tried. > > ______________________________________________ > R-devel at r-project.org <mailto:R-devel at r-project.org> maili...

Thanks for all your great answers. The app I?m working on is indeed an exploratory data analysis tool for gene expression, which requires a bunch of bioconductor packages. I guess for now, my best solution is to divide my app into modules and load/unload packages as the user switch from one module to another. This brought me another question: it seems that unload package with the

...other documentation" -> "Ecdat::AverageIncomeModels". I've found other optimizers that will get around the problem in this case but none that performs as well as optim with many other problems. Thanks, Spencer Graves p.s. I've also tested bobyqa{minqa} or nloptr{nloptr}, recommended in a vignette in the lme4 package. These did better than optim in this example but worse in others I tried. ______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel

...verageIncomeModels". > > > I've found other optimizers that will get around the problem in this > case but none that performs as well as optim with many other problems. > > > Thanks, > Spencer Graves > > > p.s. I've also tested bobyqa{minqa} or nloptr{nloptr}, recommended in a > vignette in the lme4 package. These did better than optim in this example > but worse in others I tried. > > ______________________________________________ > R-devel at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-dev...

...OTECT will work even during R shutdown. In some cases cleanup code that would be put in C++ destructors, if they were safe with R, can instead be put into R finalizers. Tomas On 09/21/2017 04:41 PM, Lukas Stadler wrote: > Hi! > > We?ve recently come across an example where a package (minqa) creates an Rcpp Function object in a static variable. > This causes R_ReleaseObject to be called by the destructor at a very late point in time - as part of the system exit function: > > static Function cf("c"); > > I?m wondering if that is considered to be ?safe?? > Is...

...5 sums checked package 'BB' successfully unpacked and MD5 sums checked package 'ucminf' successfully unpacked and MD5 sums checked package 'Rcgmin' successfully unpacked and MD5 sums checked package 'Rvmmin' successfully unpacked and MD5 sums checked package 'minqa' successfully unpacked and MD5 sums checked package 'setRNG' successfully unpacked and MD5 sums checked package 'optimx' successfully unpacked and MD5 sums checked The downloaded packages are in C:\Documents and Settings\mycomputer\Local Settings\Temp\Rtmpd7resh\downloade...

Hi R users, I am trying to restrct the range of two of the parameters in a maximization problem. Both parameters should be between -1 and 1. As far as I know, if I choose the estimation method ="L-BFGS-B" under Optim, I can restrict the parameter space. However, the "L-BFGS-B" always require finite values of the loglik function and cannot get around of the problem if an

Hi i´m starting to work with free software (with free as in freedom) i've been working with GAMS (General Algebraic Modeling System) to solve static and dynamic optimization problems and non-linear large systems of equations i'm wondering if there is any free software and documentation on the subject, wether in R, Maxima, or something else i will appreciate any help and any references

...kibbitzing. Stefan Theussl and others have the R Optimization Infrastructure. There are some differences of focus in these projects. For the present poster, I cannot unfortunately help much on GNLM details, but I can say that there are trial versions of methods that will handle bounds (packages minqa, Rcgmin and Rvmmin) that accept bounds, along with existing L-BFGS-B in optim(). Rcgmin and Rvmmin also accept "masks", that is fixed parameters. These routines are about to go into CRAN. It appears GNLM is not a CRAN package. Does it permit substitution of optimizer? That is somethin...

Hi All, I have a situation where I want an 'if' variable to be parameterized. It's entirely possible that the way I'm trying to do this is wrong, especially given the error message I get that indicates I can't do this using an 'if' statement. Essentially, I have data where I think a relationship enters when a variable (here Pwd) is below some value (z). I don't

Hi, Currently I am trying to solve a minimization problem using optim as method Nelder-Mead. However, Neldel-Mead needs many iterations until it finally converges. I have set $control.trace and $control.report such that I can see the value of the function at each iteration. I do see that I set the convergence criteria to strict in the sense that the function value does not change much. However,

Hello,   I am currently working on a modeling project using Fortran to run large repetitive loops (many DO loops). As part of this process I would like to use a model fit in R and currently stored as an R object. This is a rather complex model, a GAMM, and I am curious whether there is a way to call this model from Fortran. I am not sure "call" is correct terminology, but I

Dear R-er, For a non-linear optimisation, I used optim() with BFGS method but it stopped regularly before to reach a true mimimum. It was not a problem with limit of iterations, just a local minimum. I was able sometimes to reach better minimum using several rounds of optim(). Then I moved to optimx() to do the different optim rounds automatically using "Nelder-Mead" and