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i'm using the following c++ code using namespace std; #include <iostream> #include <stdio.h> #include <opencv/cv.h> #include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv/highgui.h> #include <opencv/cv.h> #include <R.h> #include <Rinternals.h> #include <Rmath.h> extern "C" { SEXP

Hi all I have a R code that incorporates a C++ programm. I compiled the C++ code with the following: R CMD SHLIB Model.cpp -Wall funzioni.cpp it seems to work fine but when i run the R code i get this error message Error in dyn.load(paste(dir_func, "Model.so", sep = "")) : unable to load shared object '/lustre/work/uuu/RCpp/Model.so': libR.so: cannot open

Hi all, I have a problem but i am not sure that this is the right mailing list. I'm writing a R program which call a C++ program, through the function .Call. I use to compile the c++ script with the command R CMD SHLIB SpTempWrapC.cpp -Wall -l covmodel.h -l util.h Everything works fine since, for mistake, i paste in the terminal the content of the r-script. Now, when i try to compile,

Hi, I have a R program that call a C function. I define a vector of pointer as int nLC=3; int pownLC = nLC*nLC double *MatCovExtra[nT+1]; for(k=0;k<K+1;k++) { MatCovExtra[k] = (double*)R_alloc(pownLC, sizeof(double)); } where nT>K. Then i put some values on the vector associated with the pointer: for(k=0;k<K+1;k++) { for(i=0;i<nLC;i++)

Hi all, im triyng to implement a bayesian model with R and c++. I have a strange problem. I can't reproduce the error with a small script and then i post the original one. The problem is after the line for(MCMC_iter2=0;MCMC_iter2<thin;MCMC_iter2++) For the first 34 iterations all work fine, after, all the simulations of mu_acc_P return an "nan". If i delete the line

Hi all I'm using the function bayesx to estimate a simple model, for example: library(R2BayesX) ## generate some data set.seed(111) n <- 200 ## regressor dat <- data.frame(x = runif(n, -3, 3)) ## response dat$y <- with(dat, 1.5 + sin(x) + rnorm(n, sd = 0.6)) ## estimate models with ## bayesx REML and MCMC b1 <- bayesx(y ~ sx(x), method = "REML", data = dat) I want

Hi all, I have a problem with the library R2BayesX, when i try to use the command bayesx i get this error: dyld: Library not loaded: /usr/local/lib/libreadline.5.2.dylib Referenced from: /Library/Frameworks/R.framework/Versions/2.15/Resources/library/BayesXsrc/libs/i386/BayesX Reason: image not found I obtain this message also with the example in the bayesx help: ## generate some data

Hi all i'm trying to use the opencv's function into R. i wrote a simple script, just for try to understand how use c++ in R, it loads an image and write it with a different name (i know it ), and then write "Hello, World". The file is names prova2.cpp (is the first time i try to use c++ ) #include <stdio.h> #include <opencv/cv.h> #include