Merge pull request #180 from RcppCore/feature/shorter-description

shorter Description:

Author: eddelbuettel

DESCRIPTION

@@ -1,54 +1,18 @@
 Package: Rcpp
 Title: Seamless R and C++ Integration
-Version: 0.11.2.4
-Date: 2014-09-10
+Version: 0.11.2.6
+Date: 2014-09-21
 Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, 
  Douglas Bates, and John Chambers
 Maintainer: Dirk Eddelbuettel <[email protected]>
 Description: The Rcpp package provides R functions as well as a C++ classes
- which facilitate 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.
- .
- Rcpp attributes provide a high-level syntax for declaring C++
- functions as callable from R and automatically generating the code
- required to invoke them.  Attributes are intended to facilitate both
- interactive use of C++ within R sessions as well as to support R
- package development. Attributes are built on top of Rcpp modules and
- their implementation is based on previous work in the inline package.
- .
- Many examples are included, and around 900 unit tests in 446 unit
- test functions provide additional usage examples.
- .
- An earlier version of Rcpp, containing what we now call the 'classic Rcpp
- API' was written during 2005 and 2006 by Dominick Samperi.  This code has
- been factored out of Rcpp into the package RcppClassic, and it is still
- available for code relying on the older interface. New development should
- always use this Rcpp package instead.
- .
- Additional documentation is available via the paper by Eddelbuettel and
- Francois (2011, JSS) paper and the book by Eddelbuettel (2013, Springer);
- see 'citation("Rcpp")' for details.
+ which offer a seamless integration of R and C++. Many R data types and objects
+ can be mapped back and forth to C++ equivalents which facilitates both writing
+ of new code as well as easier integration of third-party libraries. Extensive
+ documentation about Rcpp is provided by several vignettes included in this
+ package, via the Rcpp Gallery site at http://gallery.rcpp.org, the paper by
+ Eddelbuettel and Francois (2011, JSS), and the book by Eddelbuettel (2013,
+ Springer); see 'citation("Rcpp")' for details on these last two.
 Depends: R (>= 3.0.0)
 Imports: methods
 Suggests: RUnit, inline, rbenchmark, highlight, pkgKitten (>= 0.1.2)