similar to: Bundling system dependencies in binary packages

On 3 December 2014 at 07:40, Prof Brian Ripley wrote: > On 02/12/2014 18:34, Louis Aslett wrote: >> I've been hunting round for the accepted method of bundling system >> dependencies into binary packages. >> >> For example, there are some CRAN packages (e.g. gmp, RcppArmadillo, >> ...) which don't require the system dependencies be installed for the

Hola a todos, No he podido encontrar la solución para el siguiente error al instalar el paquete dplR: > install.packages("dplR") Installing package into ‘/home/milagros/R/x86_64-pc-linux-gnu-library/3.1’ (as ‘lib’ is unspecified) also installing the dependency ‘gmp’ probando la URL ' http://r.mirror.mendoza-conicet.gob.ar/src/contrib/gmp_0.5-11.tar.gz' Content type

Hello. I have installed R with dnf. Also I have installed gmp and gmp-devel with dnf (I think gmp was already installed). In R I did > install.packages('Rmpfr') But then I get configure: error: GNU MP not found, or not 4.1.4 or up, see http://gmplib.org What must I do? [[alternative HTML version deleted]]

Hi, I can not install packages from source which links to RcppArmadillo on Ubuntu 20.04 (after upgrading from 18.04). The following problem occurs: ** testing if installed package can be loaded from temporary location Error: package or namespace load failed for 'myPackage' in dyn.load(file, DLLpath = DLLpath, ...): unable to load shared object

Dirk, thank you a thousand times. Indeed, src/Makevars was wrong. I modified Makevars so that now looks like the below and the package now compiled and linked properly. CXX_STD = CXX11 PKG_LIBS += $(SHLIB_OPENMP_CXXFLAGS) $(LAPACK_LIBS) $(BLAS_LIBS) $(FLIBS) $(shell ${R_HOME}/bin/Rscript -e "RcppParallel::RcppParallelLibs()") PKG_CXXFLAGS = $(SHLIB_OPENMP_CXXFLAGS) -I../inst/include

Hi Team, I observer that division of __int128 bit is very heavy operation. It internally call a routine '__udivti3', which internally call ' __udivmodti4'. Due to it the overall performance is much much slower (almost 15 time slower than if I do it via a combination of 64-bit or microsoft '_udiv128'). Also what to know if I can directly call below routine directly from

Dear R-devel, I've written a numerical solver for SOCPs (second order cone programs) in R, and now I want to move most of the solver code into C for speed. I've written combined R/C packages before, but in this case I need to do matrix operations in my C code. As I have never done that before, I'm trying to write some simple examples to make sure I understand the basics. I am stuck

I am unable to install the gmp package on an x86_64 (Xeon) machine. I have had the same problem with other packages (eg. MCMCpack) as well. I am running Red Hat Enterprise Linux 4.1. I get the following error: g++ -shared -L/usr/local/lib64 -o gmp.so biginteger.o biginteger_operator.o bigintegerR.o bigrational.o bigrational_operator.o bigrationalR.o factor.o -L/usr/local/lib/ -lgmp /usr/bin/ld:

We have seen problems with a number of packages which use R/Rscript to run R code in configure or makefiles. (a) You must give a full path: there need be no version of R in the path, and if there is it might not be the version/build of R under which package installation is being done. So the general form is to use ${R_HOME}/bin/R to select the right version. And since ${R_HOME} might

Hi there, I'm trying to install the package RcppArmadillo in my R 2.11.1 which I installed and regularly update via Ubuntu's repositories. When I try to install RcppArmadillo from CRAN I get: > install.packages('RcppArmadillo', lib='~/myRlibs') [...] g++ -shared -o RcppArmadillo.so RcppArmadillo.o fastLm.o -L/home/matias/myRlibs/Rcpp/lib -lRcpp

On Tue 2015-05-26 14:02:07 -0400, Hubert Kario wrote: > On Tuesday 26 May 2015 13:43:13 Daniel Kahn Gillmor wrote: >> On Tue 2015-05-26 12:57:05 -0400, Hubert Kario wrote: >> > creating composites that will pass even 100000 rounds of Miller-Rabin is >> > relatively simple.... >> > (assuming the values for M-R tests are picked randomly) >> >> Can you

On Fri 2015-05-22 00:06:29 -0400, Darren Tucker wrote: > On Thu, May 21, 2015 at 11:26 PM, Matthew Vernon <matthew at debian.org> wrote: >> >> You will be aware of https://weakdh.org/ by now, I presume; the >> take-home seems to be that 1024-bit DH primes might well be too weak. >> I'm wondering what (if anything!) you propose to do about this issue, >>

Dear all, I am testing a simple C++ function that takes a double matrix as argument and which uses routines provided by the C++ Armadillo package. I am aware of the nice capabilities of Rcpp and RcppArmadillo which helps simplifying a lot and that I have already successfully tested. However, I had a hard time trying to figure out how the coercion from a REALSPX matrix to an arma::mat =

Hi, During my recent r2sundials development, I've came across a strange test failing during 'R CMD check' exclusively on win R-devel which I could reproduce with a minimal example that I present here. The toy packages testarma1 [1] and testarma2 [2] are minimal modifications of a skeleton package produced by RcppArmadillo.package.skeleton(). They are almost identical. The first

Hi, Why doesn't R include a full Lapack but only a subset? My cda package (now archived) relying on RcppArmadillo has broken multiple times on CRAN over the past few years following updates in the underlying Armadillo library, Every time it follows the same pattern: Armadillo adds a function to solve a specialised linear system more efficiently, and the corresponding Lapack routine is not

What is the RcppArmadillo way to make binomial draws from a vector of probs, similar to what rbinom does in R? Thanx! -- View this message in context: http://r.789695.n4.nabble.com/rbinom-in-RcppArmadillo-tp4683593.html Sent from the R devel mailing list archive at Nabble.com.

On Thu, Apr 14, 2011 at 7:02 PM, <rcpp-devel-request at r-forge.wu-wien.ac.at> wrote: > I was able to write a very short C++ function using the Rcpp package > that provided about a 1000-fold increase in speed relative to the best > I could do in R. ?I don't have the script on this computer so I will > post it tomorrow when I am back on the computer at the office. > >

Is there anyway with some experience in using armadillo in R C++ extensions? My problem is the following: I programmed a function in a header looking like #include <armadillo> inline arma::vec foo(input) { ... do something return an arma::vec object } compiling this via R CMD INSTALL packagename (PKG_CXXFLAGS = -I/folder/of/armadillo and armadillo_bits in my package) I get the

On a cluster that is based on RedHat 6.2, we are updating to R-3.3.1. I have, from time to time, run into problems with various R packages and some older versions of GCC. I wish we had newer Linux in the cluster, but with 1000s of nodes running 1000s of jobs, well, they don't want a restart. Administrator suggested I try to build with the GCC that is provided with the nodes, which is

Dear all, running the example by D. Eddebuettel (http://dirk.eddelbuettel.com/blog/2011/04/23/) I get an error message. Specifically, the R code I was taking from the above example is ### BEGIN EXAMPLE ### suppressMessages(require(RcppArmadillo)) suppressMessages(require(Rcpp)) suppressMessages(require(inline)) code <- ' arma::mat coeff = Rcpp::as<arma::mat>(a); arma::mat