https://github.com/cran/Rcpp
Revision a5efaaa5edad752264a962eba18c2fe7b700f19e authored by Dirk Eddelbuettel and Romain Francois on 28 November 2010, 06:24:47 UTC, committed by cran-robot on 28 November 2010, 06:24:47 UTC
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Tip revision: a5efaaa5edad752264a962eba18c2fe7b700f19e authored by Dirk Eddelbuettel and Romain Francois on 28 November 2010, 06:24:47 UTC
version 0.8.9
Tip revision: a5efaaa
DESCRIPTION
Package: Rcpp
Title: Seamless R and C++ Integration
Version: 0.8.9
Date: $Date: 2010-11-27 22:55:53 -0600 (Sat, 27 Nov 2010) $
Author: Dirk Eddelbuettel and Romain Francois, with contributions by
        Douglas Bates, John Chambers, Simon Urbanek, and David Reiss; a
        small portion of the code is based on code written during 2005
        and 2006 by Dominick Samperi
Maintainer: Dirk Eddelbuettel and Romain Francois
        <RomainAndDirk@r-enthusiasts.com>
Description: 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 793 unit tests in 375 unit test
        functions provide additional usage examples.
Depends: R (>= 2.12.0), methods
Suggests: RUnit, inline, rbenchmark
URL: http://dirk.eddelbuettel.com/code/rcpp.html,
        http://romainfrancois.blog.free.fr/index.php?category/R-package/Rcpp
License: GPL (>= 2)
BugReports:
        http://r-forge.r-project.org/tracker/?atid=637&group_id=155&func=browse
MailingList: Please send questions and comments regarding Rcpp to
        rcpp-devel@lists.r-forge.r-project.org
MinimumSvnRev: 52986
Packaged: 2010-11-28 04:59:15.781403 UTC; edd
Repository: CRAN
Date/Publication: 2010-11-28 06:24:47
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