Dirk Eddelbuettel and Romain Francois, with contributions by
Simon Urbanek, David Reiss and Douglas Bates; based on code
written during 2005 and 2006 by Dominick Samperi
Dirk Eddelbuettel and Romain Francois
<RomainAndDirk@r-enthusiasts.com>
The Rcpp package provides a C++ library which facilitates
the integration of R and C++.

R data types (SEXP) are matched to C++ objects in a class hierarchy.
All R types are supported (vectors, functions, environment, etc
...)  and each type is mapped to a dedicated class. For
example, numeric vectors are represented as instances of the
Rcpp::NumericVector class, environments are represented as
instances of Rcpp::Environment, functions are represented as
Rcpp::Function, etc ... The "Rcpp-introduction" vignette
provides a good entry point to Rcpp.

Conversion from C++ to R and back is driven by the templates Rcpp::wrap
and Rcpp::as which are highly flexible and extensible, as
documented in the "Rcpp-extending" vignette.

Rcpp also provides Rcpp modules, a framework that allows exposing C++
functions and classes to the R level. The "Rcpp-modules"
vignette details the current set of features of Rcpp-modules.

Rcpp includes a concept called Rcpp sugar that brings many R functions
into C++. Sugar takes advantage of lazy evaluation and
expression templates to achieve great performance while
exposing a syntax that is much nicer to use than the equivalent
low-level loop code. The "Rcpp-sugar" vignette gives an
overview of the feature.

Several examples are included, and 773 unit tests in 366 unit test
functions provide additional usage examples.
Please send questions and comments regarding Rcpp to
rcpp-devel@lists.r-forge.r-project.org