similar to: coerce SEXP type to C++ matrix class and back

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

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

Dear R-devel people, We are working to submit a package which is mainly a binding over a C++ lib (https://github.com/libKriging) using armadillo. It is _not_ a standard RcppArmadillo package, because we also had to provide a python binding... so there is a huge layer of cmake & scripting to make it work with a standard armadillo (but using same version that RcppArmadillo). It seems now

Le 10/01/2023 ? 10:44, RICHET Yann a ?crit?: > Dear R-devel people, > > We are working to submit a package which is mainly a binding over a C++ lib (https://github.com/libKriging) using armadillo. > It is _not_ a standard RcppArmadillo package, because we also had to provide a python binding... so there is a huge layer of cmake & scripting to make it work with a standard armadillo

Le 10/01/2023 ? 11:37, Serguei Sokol a ?crit?: > Le 10/01/2023 ? 10:44, RICHET Yann a ?crit?: >> Dear R-devel people, >> >> We are working to submit a package which is mainly a binding over a >> C++ lib (https://github.com/libKriging) using armadillo. >> It is _not_ a standard RcppArmadillo package, because we also had to >> provide a python binding... so

Thank you for your answer. In facts, 10 threads are asked by armadillo for some LinAlg, which backs to two threads as warned. But I cannot imagine this costs so much time just for that... A deeper analysis of time spent seems to point that a large time was mainly spent on testthat and Rcpp dependencies compilation... But other recent packages depending on these also are not spending so much time.

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

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. > >

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.

I'm not too happy with this either, but I believe the reason is that there would be a significant extra maintenance burden consisting of things that is not being used by R itself. In particular, complex math routines are little used and have historically caused a number of issues with correct argument and return-value passing. Notice that it is a bit of a can of worms involving matching up C

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

===== Summary ===== Version 0.9.0 of the Rcpp package is now on CRAN and its mirrors. This release marks another step in the development of the package, and a few key points are highlighted below. More details are in the NEWS and ChangeLog files included in the package. ===== Overview ===== Rcpp is an R package and associated C++ library that facilitates integration of C++ code in R

===== Summary ===== Version 0.9.0 of the Rcpp package is now on CRAN and its mirrors. This release marks another step in the development of the package, and a few key points are highlighted below. More details are in the NEWS and ChangeLog files included in the package. ===== Overview ===== Rcpp is an R package and associated C++ library that facilitates integration of C++ code in R

Peter, Is there not already a significant maintenance burden from cherry-picking routines? From my own experience (https://bugs.r-project.org/bugzilla/show_bug.cgi?id=16482 <https://bugs.r-project.org/bugzilla/show_bug.cgi?id=16482>) this is a painful process. And while users may not call these complex routines directly, R is often used as a front-end for libraries that do, so

Dear R People: Could someone recommend a good c/c++ code (or Fortran) for LU decomposition, please? Sorry to bother about this. I'm trying to do some "non-R" work that requires a matrix inversion. Thanks, Erin -- Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston - Downtown mailto: erinm.hodgess at gmail.com

Dear R-devel: The Cluster administrators at KU got enthusiastic about testing R-3.2.2 with Intel MKL when I asked for some BLAS integration. Below I forward a performance report, which is encouraging, and thought you would like to know the numbers. Appears to my untrained eye there are some extraordinary speedups on Cholesky decomposition, determinants, and matrix inversion. They had

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

Sorry, resending with correct subject line. I didn't find the development version of your package but the latest version archived on CRAN uses Rcpp, RcppArmadillo. Since the latest versions of Rcpp and Armadillo support registration, it may be something related to RcppAttributes() or similar. I think that you don't need to do registration manually. I had a similar problem but when I

I didn't find the development version of your package but the latest version archived on CRAN uses Rcpp, RcppArmadillo. Since the latest versions of Rcpp and Armadillo support registration, it may be something related to RcppAttributes() or similar. I think that you don't need to do registration manually. I had a similar problem but when I realised the above, I discarded everything

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