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GNU R / C++ interface classes and examples

The Rcpp package contains a C++ library that facilitates the integration of R and C++ in various ways.

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 underlying C++ library also offers the Rcpp::wrap function which is a templated function that transforms an arbitrary object into a SEXP. This makes it straightforward to implement C++ logic in terms of standard C++ types such as STL containers and then wrap them when they need to be returned to R. Internally, wrap uses advanced template meta programming techniques and currently supports : primitive types (bool, int, double, size_t, Rbyte, Rcomplex, std::string), STL containers (e.g std::vector<T>) where T is wrappable, STL maps (e.g std::map<std::string,T>) where T is wrappable, and arbitrary types that support implicit conversion to SEXP.

The reverse conversion (from R to C++) is performed by the Rcpp::as function template offering a similar degree of flexibility.

The package also contains a set of classes---which we call the `classic Rcpp API'---that were provided in an earlier API for R and C++ integration. Due to its continued use, the classic API is retained and will be supported for the foreseable future. The classic API includes support for R types real, integer, character, vector, matrix, Date, datetime (i.e. POSIXct) at microsecond resolution, data frame, and function. Transfer to and from simple or complex SEXP objects is made easy thanks to automatic conversion made possible by C++ template conversion. Calling R functions from C++ is also supported.

C++ code can be 'inlined' by using the 'inline' package which will create a C++ function and compile, link and load it given the 'inlined' character argument which makes C++ integration very easy.

Several examples are included, and 735 unit tests in 329 functions provide addtional usage examples.

Package version:0.8.5-1



Rcpp continues and extends earlier work by Dominik Samperi which he initially
contributed directly into the RQuantLib package. Then, during 2005 and 2006,
several releases were made as CRAN packages, first under the name Rcpp and
later under the name RcppTemplate.  However, both packages were left
abandonded after November 2006.  Later, in November 2009, two brief releases
were m


A much simpler version of the example is provided in the file newApiExample.r.
With littler installed, it can be run 'as is' as a shell script; else it can
be sourced into R.

 -- Dirk Eddelbuettel and Romain Francois,  06 Feb 2010

This directory provides a simple example of how an R function 
can be passed back and forth between R and C++.  

We define the function at the R level, pass it to C


0.8.5   2010-07-25

    o   speed improvements. Vector::names, RObject::slot have been improved
        to take advantage of R API functions instead of callbacks to R

    o   Some small updates to the Rd-based documentation which now points to 
        content in the vignettes.  Also a small formatting change to suppress
	a warning from the development version of R.

    o   Minor changes to Date


2010-07-25  Dirk Eddelbuettel  <>

	* DESCRIPTION: Release 0.8.5

	* debian/*: Similar


rcpp (0.8.5-1) unstable; urgency=low

  * New release

 -- Dirk Eddelbuettel <>  Sun, 



    o   Bring "Rcpp ? NumericVector" into life. The hook is in place, we just need


In alphabetical order:

Laurent Gautier         for help on R internals
Alistair Gee		for a patch m


This is the Debian GNU/Linux r-cran-rcpp package of Rcpp, an
R / C++ interface package. Rcpp was wri

Browse inside r-cran-rcpp_0.8.5-1_amd64.deb

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         [DIR]usr/ (2)  65535+ mirrors

Download r-cran-rcpp_0.8.5-1_amd64.deb

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