similar to: C++ interface?

Hi All: Package TSERIES is stated to depend on MVA. However, there is no MVA package to be found under the list of package sources. Best wishes, ANDREW tseries: Package for time series analysis Package for time series analysis with emphasis on non-linear and non-stationary modelling Version: 0.7-6 Depends: ts, mva, quadprog Date: 2001-08-27 Author: Compiled by Adrian

We've added a column at http://cran.r-project.org/web/checks/check_summary.html of test results using the Sun Studio compiler: it is intended that these will be updated weekly. The Sun Studio compiler is that used on Solaris: these runs were on the Linux version. All the other platforms are using gcc 4, so this provides an opportunity for checking for use of gcc-specific features and

Il 15/02/19 13:01, Marco Gaiarin via samba ha scritto: > [...] > The same configuration happen on Debian stretch (at least). I've > effectively test offline logon in the past, but with a sub-5 minutes delay > from latest connected logon. ...but in my experience cached credentials doesn't works even in 5 minutes after a successfully logon: the mistery of winbind cached

I am trying to install the gls package (a wrapper for GNU scientific library special functions) package under Ubuntu 5.10. I have gls-bin (the debian GNU Scientific Library binary package). When I try to install the R package, I receive the following. > install.packages("gsl",dependencies=T) Warning in install.packages("gsl", dependencies = T) : argument

Hi, Using R 2.15.1 on Windows 7. Have installed both versions 32 and 64bit. In both of them among others I have installed a package rgenoud When I open R gui of 32bit and write library(rgenoud) it responds by showing a functional rgenoud version 5.7-8. The same it does on Rgui 64bit. Now I am working in cygwin (v. 1.12.4.0) with xwin. Normally before when I had installed a package, I only had

SuppDists is orphaned on CRAN (and has been since 2013). https://cran.r-project.org/web/checks/check_results_.html Oddly, the simulate method for the inverse.gaussian family [inverse.gaussian()$simulate] depends (in a loose sense) on SuppDists (it fails if the SuppDists namespace is not available: if (!requireNamespace("SuppDists", quietly = TRUE)) stop("need CRAN

I've been using RGenoud for a while and it worked smoothly so far. However I came across a strange problem lately (for me at least...). It fails after the first individual and I get the following error message when I set MemoryMatrix = FALSE : Error in genoud(fn, nvars = 8, max = TRUE, pop.size = 10, : REAL() can only be applied to a 'numeric', not a 'character' when I

On 11/26/2013 06:52 AM, Gerardo Exequiel Pozzi wrote: >> >> Yes. I done the rebuild, but I can not test just now (enconding >> video!). I will post the result in ~10 hours ;) > > Yes! Fixed :) > > I tested at LBA 65536 (~128M) and 655360 (~1280M) and works fine in > both cases. > > The big mistery is why this works in some machines and why fails > in

Dear All I am using rgenoud to solve the following maximization problem: myfunc <- function(x) { x1 <- x[1] x2 <- x[2] if (x1^2+x2^2 > 1) return(-9999999) else x1+x2 } genoud(myfunc, nvars=2, Domains=rbind(c(0,1),c(0,1)),max=TRUE,boundary.enforcement=2,solution.tolerance=0.000001) How can one increase the precision of the solution $par [1] 0.7072442 0.7069694 ? I

On 2019-09-25 3:26 a.m., Martin Maechler wrote: >>>>>> Ben Bolker >>>>>> on Tue, 24 Sep 2019 20:09:55 -0400 writes: > > > SuppDists is orphaned on CRAN (and has been since 2013). > > https://cran.r-project.org/web/checks/check_results_.html > > > Oddly, the simulate method for the inverse.gaussian family > >

Dear R user fellows, I would like to ask you about the package 'rgenoud' which is a genetic optimization tool. I ran the function 'genoud' with two variables to be minimized by the following command. result<-genoud(fn,nvars=2,starting.values=c(0.5,0), pop.size=1000, max.generations=10, wait.generations=3) Then, I had the following error message. Error in

Hi Does anyone know how to install geepack on fedora 16 - 64bit - R google only yields a couple of hits with unanswered Q Installation just throws an error with an undefined symbol. Previous version won't load due to lack of NAMESPACE. Sadly, its a show stopper w.r.t. upgrading my work PCs Any hints/suggestions most welcome Thanks Cheers Peter

Hello, a very strange thing is happening : the test below pass but it should fail I had a syntax error which produced an exception in the browser and http 500 in the script/console (using app.get ''/'') But with rake test:functionals it passes - How is it possible ? Of course this file is really executed by the test suite, I can see it in the screen output of rake Which

I am attempting to install a anchoring vingettes package for R and I seem to have a problem with unzipping the files in R. I use the command that can be found here <http://wand.stanford.edu/anchors/>. Here is the dialog I get after entering the command: > install.packages("anchors", dependencies = TRUE, +

Ah, I spoke too soon. I started putting the demo code into a test suite and ran one check with valgrind and ? sure enough ? there's def more issues (a cpl functions) than the overt/easy ones (and, I went back to the check results page and, also sure enough, they're there, too). They look to be fairly straightforward to resolve but it's going to take a bit longer than "this

Dear everyone, I am trying to run rgenoud on several chips simultaneusly. I used the instructions provided on Jasjeet Sekhon's Homepage (http://sekhon.berkeley.edu/rgenoud/multiple_cpus.html). However, I have the newer version of R (R 2.12) installed - for a 64-bit machine. So, when I tried to install the special version of "snow" from a zip file provided by Jasjeet on his page, R

I have been using the rgenoud package for a nonlinear least-squares problem with lots of local minima, and it works very well but takes lots of time. According to the article refrenced in the documentation, the original GENOUD-software by the same authors seems to allow for user-supplied analytical derivatives instead of numerical approximations, which would probably save some time. Does anybody

I have been unable to install the package RandomFields. I am using R 2.9.0-4 on Ubuntu 9.04. To install, I use the command: sudo R CMD INSTALL RandomFields_1.3.37.tar.gz The output follows below. Any help Would be appreciated. D. Hoysak Brandon University * Installing to library ?/usr/local/lib/R/site-library? * Installing *source* package ?RandomFields? ... ** libs g++

I have been unable to install the package RandomFields. I am using R 2.9.0-4 on Ubuntu 9.04. To install, I use the command: sudo R CMD INSTALL RandomFields_1.3.37.tar.gz The output follows below. Any help Would be appreciated. D. Hoysak Brandon University * Installing to library ?/usr/local/lib/R/site-library? * Installing *source* package ?RandomFields? ... ** libs g++

Full_Name: Jürgen Henge-Ernst Version: 1.5.1 OS: linux Submission from: (NULL) (130.83.244.130) There seems to be a error in the VR-packages/ 7.0-3 which leads don't pass the test by running the R-check hernst@laptop:~/R/R-1.5.1> R CMD check /usr/lib/R/library/MASS/ * checking for working latex ... OK * using log directory '/home/hernst/R/R-1.5.1/MASS.Rcheck' * Installing