C++ classes to embed R in C++ applications
The RInside packages makes it easier to have 'R inside' your C++ application
by providing a few wrapper classes.

As R itself is embedded into your application, a shared library build of R
is required. This works on Linux, OS X and even on Windows provided you use
the same tools used to build R itself.  (NB: Windows versions curretly
seg.fault and debugging help would be appreciated. An older version worked
fine, but there may have been some Rcpp changes which caused this.)

Numerous examples are provided in the three subdirectories the examples/
directory of the installed package: standard, mpi (for parallel computing)
and qt (showing how to embed RInside inside a Qt application).

Doxygen-generated documentation of the C++ classes is available at the
RInside website as well.

C++ classes to embed R in C++ applications The RInside
packages makes it easier to have 'R inside' your C++
application by providing a few wrapper classes.

As R itself is embedded into your application, a shared library build
of R is required. This works on Linux, OS X and even on Windows
provided you use the same tools used to build R itself.

Numerous examples are provided in the three subdirectories the
examples/ directory of the installed package: standard, mpi
(for parallel computing) qt (showing how to embed RInside
inside a Qt application), and wt (showing how to build a
'web-application' using the Wt toolkit).

Doxygen-generated documentation of the C++ classes is available at the
RInside website as well.

C++ classes to embed R in C++ applications The RInside
packages makes it easier to have 'R inside' your C++
application by providing a C++ wrapper class providing the R
interpreter.

As R itself is embedded into your application, a shared library build
of R is required. This works on Linux, OS X and even on Windows
provided you use the same tools used to build R itself.

Numerous examples are provided in the six subdirectories of the
examples/ directory of the installed package: standard, mpi
(for parallel computing) qt (showing how to embed RInside
inside a Qt application), wt (showing how to build a
'web-application' using the Wt toolkit), armadillo (for RInside
use with RcppArmadillo) and eigen (for RInside use with
RcppEigen).

Doxygen-generated documentation of the C++ classes is available at the
RInside website as well.