The purpose of the
rgen
package is to provide popular sampling distributions
that are not exported by R’s
Math API or available in C++11
and onwards. These samplers are written using armadillo. Please note,
these samplers, just like the ones in armadillo
cannot be used in parallelized code as the underlying
generation routines rely upon R calls that are
single-threaded.
rgen
rgen
is available on CRAN and GitHub.
To install the package, you must first have a compiler on your system that is compatible with R.
For help on obtaining a compiler consult:
With a compiler in hand, install the package from CRAN with:
or from GitHub by:
rgen
There are two ways to use rgen
. The first is to use
rgen
in a standalone script. The script is typically built
using sourceCpp()
. The second approach allows for
rgen
to be used within an R package.
Within the C++
file, the rgen
package
provides an Rcpp plugins’ depends statement that must be included after
rgen.h
header. This plugin statement indicates that a
dependency is rgen
.
#include <RcppArmadillo.h>
// [[Rcpp::depends(RcppArmadillo)]]
#include <rgen.h>
// [[Rcpp::depends(rgen)]]
Note: Since rgen
relies upon
RcppArmadillo
, you must include the
RcppArmadillo.h
header and include the traditional
Rcpp dependency attribute,
e.g. // [[Rcpp::depends(RcppArmadillo)]]
.
For example, the following would allow for you to sample from an inverse wishart distribution:
#include <RcppArmadillo.h>
// [[Rcpp::depends(RcppArmadillo)]]
#include <rgen.h>
// [[Rcpp::depends(rgen)]]
// Surface the riwishart function in the rgen package into R.
// [[Rcpp::export]]
arma::mat riwishart(unsigned int df, const arma::mat& S) {
return rgen::riwishart(df, S);
}
/*** R
# Set seed for reproducibility
set.seed(111)
# Call the C++ function from R
riwishart(3, diag(2))
*/
To use rgen
in your R package, modify the
DESCRIPTION
file by adding:
LinkingTo: Rcpp, RcppArmadillo, rgen
Imports:
Rcpp (>= 0.12.10)
To use C++11
, you may wish to add the
following to your src/Makevars
and
src/Makevars.win
file:
CXX_STD = CXX11