similar to: Rcpp 0.8.0 on CRAN

I am running into a wall getting my system to work with rcpp and inline. Following Dirk's advice on stackoverflow, I hope someone is able to help me. My steps were to install MinGW 32 bit first, then installing Rtools, I disabled MinGW's entry in the PATH. I am trying to get the following code to work: library(Rcpp) library(inline) body <- ' NumericVector xx(x); return wrap(

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

Dear R experts, recently I started developing a Rcpp package "OpenMPTest". Within that package I want to use OpenMP, as in the following code example: // header file #include <omp.h> using namespace Rcpp ; RcppExport SEXP testOpenMP( SEXP nThreads ) ; // cpp file SEXP testOpenMP( SEXP nThreads ) { BEGIN_RCPP NumericVector numberThreads = NumericVector( nThreads );

Hola, necesito compilar un programa de tipo source (Rstan) con c++ La propia web del programa indica como hacerlo con Rcpp. Sin embargo no consigo que funcione Rcpp ni con un ejemplo básico. He seguido las instrucciones que vienen en http://tonybreyal.wordpress.com/2011/12/07/installing-rcpp-on-windows-7-for-r-and-c-integration/ Tengo instalado Rtools y los paths correspondientes, pero no

Hi, On 03/02/2015 12:18 PM, D?nes T?th wrote: > > > On 03/02/2015 04:37 PM, Martin Maechler wrote: >> >>> On 2 March 2015 at 09:09, Duncan Murdoch wrote: >>> | I generally recommend that people use Rcpp, which hides a lot of the >>> | details. It will generate your .Call calls for you, and generate the >>> | C++ code that receives them; you just

===== 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

On 03/02/2015 04:37 PM, Martin Maechler wrote: > >> On 2 March 2015 at 09:09, Duncan Murdoch wrote: >> | I generally recommend that people use Rcpp, which hides a lot of the >> | details. It will generate your .Call calls for you, and generate the >> | C++ code that receives them; you just need to think about the real >> | problem, not the interface. It has its

On 2 March 2015 at 16:37, Martin Maechler wrote: | | > On 2 March 2015 at 09:09, Duncan Murdoch wrote: | > | I generally recommend that people use Rcpp, which hides a lot of the | > | details. It will generate your .Call calls for you, and generate the | > | C++ code that receives them; you just need to think about the real | > | problem, not the interface. It has its own

We (the lme4 authors) are having a problem with doing a proper deep copy of a reference class object in recent versions of R-devel with the LAZY_DUPLICATE_OK flag in src/main/bind.c enabled. Apologies in advance for any improper terminology. TL;DR Is there an elegant way to force non-lazy/deep copying in our case? Is anyone else using reference classes with a field that is an external pointer?

Dear R-Developers, I just started learning how to use Rcpp. Earlier while using it, I encountered an error as shown below: file74d8254b96d4.cpp: In function ‘Rcpp::NumericVector foo(Rcpp::NumericVector, Rcpp::NumericVector, Rcpp::NumericVector, Rcpp::Function, Rcpp::Function)’: file74d8254b96d4.cpp:10: error: invalid operands of types ‘SEXPREC*’ and ‘R_len_t’ to binary ‘operator/’ make: ***

Hi everyone, I have been trying to extend Rcpp with my own wrap and as templates. Two issues: 1) I need to explicitly call wrap. Is that expected? So for example I wrote this specialization: template<> SEXP Rcpp::wrap(std::vector<TimedOptDouble> const& entries) { std::vector<double> sec_times; std::vector<double> doubles; for(auto const& entry : entries) {

Friends I am looking at Rcpp and I am a bit stuck on a simple matter. (I am calling R from c++, if there is a better way...) Given this simple example using the TTR package and the SMA function which returns a simple moving average.... Rcpp::NumericVector rv; for(int i = 0; i < 100; i++){ rv.push_back(rand()); } Rcpp::Environment TTR("package:TTR");

On Tue, Jan 11, 2011 at 2:41 PM, Romain Francois <romain@r-enthusiasts.com>wrote: > Le 11/01/11 19:57, Romain Francois a écrit : > > Le 11/01/11 19:46, Douglas Bates a écrit : >> >>> On Tue, Jan 11, 2011 at 12:27 PM, Dominick >>> Samperi<djsamperi@gmail.com> wrote: >>> >>>> >>>> >>>> On Tue, Jan 11, 2011 at

Hi Sri, I haven't really elaborated on it having other stuff to prepare first, but as far as I got you first assign data to a vector: #include <R.h> #include <Rinternals.h> #undef R_INTERFACE_PTRS #include <Rembedded.h> #include "Rcpp.hpp" #include <R_ext/Parse.h> #include <Rinternals.h> #include <Rdefines.h> //assigning a vector SEXP

Hi, I am a newbie to Rcpp packages, and got problems in having basic set-ups for Rcpp under windows xp. Here is the list I have done. 1) installed Rtools and have no problem in compiling .c file. 2) installed Rcpp packages 3) set enviroment variables 'path' to make C:\Program Files\R\R-2.12.0\library\Rcpp\include\ searchable The sample C++ code I used is from the original website:

Hi, Im not sure if this is the right place to post this. I am using Xubuntu Karmic Koala and am trying to use the Rcpp package. I am testing it using a simple code that takes in a vector and adds 1 to each element: #include <Rcpp.h> // This file takes in a vector and adds one to each entry RcppExport SEXP addone(SEXP vec){ // create a local copy of vec Rcpp::NumericVector

On 2 March 2015 at 09:09, Duncan Murdoch wrote: | I generally recommend that people use Rcpp, which hides a lot of the | details. It will generate your .Call calls for you, and generate the | C++ code that receives them; you just need to think about the real | problem, not the interface. It has its own learning curve, but I think | it is easier than using the low-level code that you need to

Hello all, I've been working on a package to do various things related to the Conway-Maxwell-Poisson distribution and wanted to be able to make fast random draws from the distribution. My R code was running quite slow so I decided to give Rcpp a bash. I had used it before but only for extremely basic stuff and always using inline. This time I decided to give making a proper package a go.

A new release 0.10.0 of Rcpp is now on CRAN, bringing a number of new features to R --- please see the announcement text below. The most direct change may be what we call 'Rcpp attributes' and which is described in a new vignette bringing the total to nine vignettes in the package. Dirk, on behalf of Dirk, Romain, Doug, John and JJ ===== Summary ===== Version 0.10.0 of the Rcpp