Rcpp integration for GNU GSL vectors and matrices The GNU
Scientific Library (GSL) is a collection of numerical routines
for scientific computing. It is particularly useful for C and
C++ programs as it provides a standard C interface to a wide
range of mathematical routines such as special functions,
permutations, combinations, fast fourier transforms,
eigensystems, random numbers, quadrature, random distributions,
quasi-random sequences, Monte Carlo integration, N-tuples,
differential equations, simulated annealing, numerical
differentiation, interpolation, series acceleration, Chebyshev
approximations, root-finding, discrete Hankel transforms
physical constants, basis splines and wavelets.  There are over
1000 functions in total with an extensive test suite.

The RcppGSL package provides an easy-to-use interface between GSL data
structures and R using concepts from Rcpp which is itself a
package that eases the interfaces between R and C++.

This package also serves as a prime example of how to build a package
that uses Rcpp to connect to anoother third-party library. The
autoconf script, inline plugin and example package can all be
used as a stanza to write a similar package against another
library.

Rcpp integration for GNU GSL vectors and matrices
The GNU Scientific Library (GSL) is a collection of numerical routines for
scientific computing. It is particularly useful for C and C++ programs as it
provides a standard C interface to a wide range of mathematical routines
such as special functions, permutations, combinations, fast fourier
transforms, eigensystems, random numbers, quadrature, random distributions,
quasi-random sequences, Monte Carlo integration, N-tuples, differential
equations, simulated annealing, numerical differentiation, interpolation,
series acceleration, Chebyshev approximations, root-finding, discrete
Hankel transforms physical constants, basis splines and wavelets.  There
are over 1000 functions in total with an extensive test suite.

The RcppGSL package provides an easy-to-use interface between GSL data
structures and R using concepts from Rcpp which is itself a package that
eases the interfaces between R and C++.

This package also serves as a prime example of how to build a package
that uses Rcpp to connect to another third-party library. The autoconf
script, inline plugin and example package can all be used as a stanza to
write a similar package against another library.