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updated NEWS, rolled minor, edited URLs
R-devel still complained about the http:// URLs to CRAN
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DESCRIPTION

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Package: Rcpp
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Title: Seamless R and C++ Integration
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Version: 0.12.7.2
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Date: 2016-10-18
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Version: 0.12.7.3
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Date: 2016-10-20
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Author: Dirk Eddelbuettel, Romain Francois [2009-2013], JJ Allaire, Kevin Ushey,
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Qiang Kou, Douglas Bates [2010-2012] and John Chambers
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Maintainer: Dirk Eddelbuettel <[email protected]>

README.md

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## Rcpp [![Build Status](https://travis-ci.org/RcppCore/Rcpp.svg)](https://travis-ci.org/RcppCore/Rcpp) [![License](http://img.shields.io/badge/license-GPL%20%28%3E=%202%29-brightgreen.svg?style=flat)](http://www.gnu.org/licenses/gpl-2.0.html) [![CRAN](http://www.r-pkg.org/badges/version/Rcpp)](http://cran.r-project.org/package=Rcpp) [![Downloads](http://cranlogs.r-pkg.org/badges/Rcpp?color=brightgreen)](http://www.r-pkg.org/pkg/Rcpp)
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## Rcpp [![Build Status](https://travis-ci.org/RcppCore/Rcpp.svg)](https://travis-ci.org/RcppCore/Rcpp) [![License](http://img.shields.io/badge/license-GPL%20%28%3E=%202%29-brightgreen.svg?style=flat)](http://www.gnu.org/licenses/gpl-2.0.html) [![CRAN](http://www.r-pkg.org/badges/version/Rcpp)](https://cran.r-project.org/package=Rcpp) [![Downloads](http://cranlogs.r-pkg.org/badges/Rcpp?color=brightgreen)](http://www.r-pkg.org/pkg/Rcpp)
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### Seamless R and C++ Integration
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The [Rcpp package](http://cran.r-project.org/package=Rcpp) provides R functions and a C++ library
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The [Rcpp package](https://cran.r-project.org/package=Rcpp) provides R functions and a C++ library
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facilitating the integration of R and C++.
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R data types (`SEXP`) are matched to C++ objects in a class hierarchy. All R
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represented as instances of Rcpp::Environment, functions are represented as
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Rcpp::Function, etc ...
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The
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[Rcpp-introduction](http://cran.r-project.org/web/packages/Rcpp/vignettes/Rcpp-introduction.pdf)
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[Rcpp-introduction](https://cran.r-project.org/package=Rcpp/vignettes/Rcpp-introduction.pdf)
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vignette (also published as a [JSS paper](http://www.jstatsoft.org/v40/i08/)) provides a good
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entry point to Rcpp as do the [Rcpp website](http://www.rcpp.org), the
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[Rcpp page](http://dirk.eddelbuettel.com/code/rcpp.html) and the
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Conversion from C++ to R and back is driven by the templates `Rcpp::wrap`
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and `Rcpp::as` which are highly flexible and extensible, as documented
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in the [Rcpp-extending](http://cran.r-project.org/web/packages/Rcpp/vignettes/Rcpp-extending.pdf) vignette.
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in the [Rcpp-extending](https://cran.r-project.org/package=Rcpp/vignettes/Rcpp-extending.pdf) vignette.
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Rcpp also provides Rcpp modules, a framework that allows exposing
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C++ functions and classes to the R level. The [Rcpp-modules](http://cran.r-project.org/web/packages/Rcpp/vignettes/Rcpp-modules.pdf) vignette
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C++ functions and classes to the R level. The [Rcpp-modules](https://cran.r-project.org/package=Rcpp/vignettes/Rcpp-modules.pdf) vignette
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details the current set of features of Rcpp-modules.
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Rcpp includes a concept called Rcpp sugar that brings many R functions
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into C++. Sugar takes advantage of lazy evaluation and expression templates
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to achieve great performance while exposing a syntax that is much nicer
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to use than the equivalent low-level loop code. The [Rcpp-sugar](http://cran.r-project.org/web/packages/Rcpp/vignettes/Rcpp-sugar.pdf)
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to use than the equivalent low-level loop code. The [Rcpp-sugar](https://cran.r-project.org/package=Rcpp/vignettes/Rcpp-sugar.pdf)
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gives an overview of the feature.
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Rcpp attributes provide a high-level syntax for declaring C++
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interactive use of C++ within R sessions as well as to support R
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package development. Attributes are built on top of Rcpp modules and
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their implementation is based on previous work in the inline package.
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See the [Rcpp-atttributes](http://cran.r-project.org/web/packages/Rcpp/vignettes/Rcpp-attributes.pdf) vignettes for more details.
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See the [Rcpp-atttributes](https://cran.r-project.org/package=Rcpp/vignettes/Rcpp-attributes.pdf) vignettes for more details.
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### Documentation
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always use this Rcpp package instead.
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Other usage examples are provided by packages using Rcpp. As of September 2016,
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there are 759 [CRAN](http://cran.r-project.org) packages using Rcpp, a further
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there are 759 [CRAN](https://cran.r-project.org) packages using Rcpp, a further
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76 [BioConductor](http://www.bioconductor.org) packages in its current release
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(with 84 in its devel version) as well as an unknown number of GitHub,
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Bitbucket, R-Forge, ... repositories using Rcpp. All these packages provide
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### Installation
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Released and tested versions of Rcpp are available via the
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[CRAN](http://cran.r-project.org) network, and can be installed from within R via
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[CRAN](https://cran.r-project.org) network, and can be installed from within R via
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```R
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install.packages("Rcpp")
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To install from source, ensure you have a complete package development
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environment for R as discussed in the relevant documentation; also see
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questions 1.2 and 1.3 in the
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[Rcpp-FAQ](http://cran.r-project.org/web/packages/Rcpp/vignettes/Rcpp-FAQ.pdf).
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[Rcpp-FAQ](https://cran.r-project.org/package=Rcpp/vignettes/Rcpp-FAQ.pdf).
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### Authors
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inst/NEWS.Rd

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\section{Changes in Rcpp version 0.12.8 (2016-??-??)}{
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\itemize{
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\item Changes in Rcpp API:
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\itemize{
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\item String and vector elements now use extended \code{R_xlen_t} indices
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(Qiang in PR \ghpr{560})
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}
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\item Changes in Rcpp Sugar:
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\itemize{
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\item Added new Sugar functions \code{rowSums()}, \code{colSums()},
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\code{rowMeans()}, \code{colMeans()} (PR \ghpr{551} by Nathan Russell
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fixing \ghit{549})
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}
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\item Updated Date and Datetime vector classes:
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\itemize{
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\item The \code{DateVector} and \code{DatetimeVector} classes were renamed
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with a prefix \code{old}; they are currently \code{typedef}'ed to the
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existing name (\ghpr{557})
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\item New variants \code{newDateVector} and \code{newDatetimeVector} were
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added based on \code{NumericVector} (also (\ghpr{557})
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\item By defining \code{RCPP_NEW_DATE_DATETIME_VECTORS} the new classes
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can activated. We intend to make the new classes the default no sooner
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than twelve months from this release.
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}
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}
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}
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