pkgsrc/devel/R-Rcpp/distinfo

$NetBSD: distinfo,v 1.1 2014/09/19 20:12:51 brook Exp $

SHA1 (R/Rcpp_0.11.2.tar.gz) = 7a81e29c70770bb0911ee9e970fa200a76a5e29f
RMD160 (R/Rcpp_0.11.2.tar.gz) = 92e8479c49cbee5e2568f0475cce595f84efecc8
Size (R/Rcpp_0.11.2.tar.gz) = 2004313 bytes
Initial import of Rcpp v0.11.2 as devel/R-Rcpp. The Rcpp package provides R functions as well as a C++ library 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. 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. Note: this commit is part of reorganizing some of the recently imported R packages, which are being reimported into more appropriate categories (and removed from math) as a result of a recent discussion on tech-pkg and privately with wiz@. See the thread starting with: http://mail-index.netbsd.org/tech-pkg/2014/09/05/msg013558.html 2014-09-19 22:12:51 +02:00			$NetBSD: distinfo,v 1.1 2014/09/19 20:12:51 brook Exp $

			`SHA1 (R/Rcpp_0.11.2.tar.gz) = 7a81e29c70770bb0911ee9e970fa200a76a5e29f`
			`RMD160 (R/Rcpp_0.11.2.tar.gz) = 92e8479c49cbee5e2568f0475cce595f84efecc8`
			`Size (R/Rcpp_0.11.2.tar.gz) = 2004313 bytes`