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This is the Debian GNU/Linux r-cran-rcpp package of Rcpp, an
R / C++ interface package. Rcpp was written by Dominick Samperi,
Dirk Eddelbuettel and Romain Francois.

This package was created by Dirk Eddelbuettel <edd@debian.org>.
The sources were downloaded from the main CRAN site
        http://cran.r-project.org/src/contrib/
and are also available from all CRAN mirrors as e.g.
        http://cran.us.r-project.org/src/contrib/
as well the GitHub repo
        http://github.com/RcppCore/Rcpp

The package was renamed from its upstream name 'Rcpp' to
'r-cran-rcpp' to fit the pattern of CRAN (and non-CRAN) packages for
R.

Copyright (C) 2005 - 2006 Dominick Samperi
Copyright (C) 2008        Dirk Eddelbuettel
Copyright (C) 2009 - 2013 Dirk Eddelbuettel and Romain Francois

Portions Copyright (C) 2008 Simon Urbanek
Portions Copyright (C) 2010 Doug Bates
Portions Copyright (C) 2010 John M Chambers

License: GPL-2

On a Debian GNU/Linux system, the GPL license (version 2) is included
in the file /usr/share/common-licenses/GPL-2.

For reference, the upstream DESCRIPTION file is included below:

  Package: Rcpp
  Title: Rcpp R/C++ interface package
  Version: 0.7.3
  Date: $Date: 2010-01-18 13:08:15 -0600 (Mon, 18 Jan 2010) $
  Author: Dirk Eddelbuettel and Romain Francois, with contributions 
   by Simon Urbanek and David Reiss; based on code written during 
   2005 and 2006 by Dominick Samperi 
  Maintainer: Dirk Eddelbuettel <edd@debian.org>
  Description: R/C++ interface classes and examples
   The Rcpp library maps data types betweeen R and C++, and 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 SEXP objects is particular easy. 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.
  Depends: R (>= 2.0.0)
  Suggests: inline (>= 0.3.4), RUnit 
  SystemRequirements: None
  URL: http://dirk.eddelbuettel.com/code/rcpp.html, 
   http://romainfrancois.blog.free.fr/index.php?category/R-package/Rcpp
  License: GPL (>= 2)

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