The recent release of the C++11 standard has brought a lot of attention to the new language features. Rcpp, as a CRAN package, follows CRAN policy in not (yet!!) supporting the standard for its purported non-portable status. Even as of the current g++ version, we still need to explicitly enable C++11 support which we can do here from R prior to compiling:
Sys.setenv("PKG_CXXFLAGS"="-std=c++11")
C++11 has a lot of nice features; the Wikipedia page is pretty thorough in describing them, and the recently-created ISO C++ website has a lot of additional material.
In a first example, we look at the auto keyword which allows the compiler to infer the type based on the assignment.
#include <Rcpp.h>
// [[Rcpp::export]]
int useAuto() {
auto val = 42; // val will be of type int
return val;
}
Testing it:
useAuto()
[1] 42
Another lovely feature are initialiser lists:
#include <Rcpp.h>
// [[Rcpp::export]]
std::vector<std::string> useInitLists() {
std::vector<std::string> vec = {"larry", "curly", "moe"};
return vec;
}
Testing it:
useInitLists()
[1] "larry" "curly" "moe"
Lastly, we can appreciate the addition loops over ranges:
#include <Rcpp.h>
// [[Rcpp::export]]
int simpleProd(std::vector<int> vec) {
int prod = 1;
for (int &x : vec) { // loop over all values of vec
prod *= x; // access each elem., comp. product
}
return prod;
}
This third example we can also look at:
simpleProd(1:5)
[1] 120
Again, we need to remind the reader that this still requires setting the -std=c++11 option for g++, and that CRAN will not allow this in uploads. Yet. That time will come though. And in the meantime, this can of course be used for non-CRAN projects.
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Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).