R-Rcpp - Seamless R and C++ Integration

Property Value
Distribution NetBSD 7.1
Repository NetBSD amd64
Package filename R-Rcpp-1.0.0.tgz
Package name R-Rcpp
Package version 1.0.0
Package release -
Package architecture amd64
Package type tgz
Category devel math
Homepage http://cran.r-project.org/web/packages/Rcpp/
License gnu-gpl-v2
Maintainer -
Download size 3.14 MB
Installed size 9.69 MB
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.
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.


Package Version Architecture Repository
R-Rcpp-1.0.0.tgz 1.0.0 i386 NetBSD
R-Rcpp - - -


Name Value
R >= 2.2.1nb2


Type URL
Mirror ftp.netbsd.org
Binary Package R-Rcpp-1.0.0.tgz
Source Package R-Rcpp

Install Howto

Install R-Rcpp tgz package:

# pkg_add R-Rcpp



See Also

Package Description
R-RcppArmadillo-0.8.400.0.0.tgz Testing linear regression models
R-RcppEigen- Rcpp integration for the Eigen templated linear algebra library
R-SparseM-1.77.tgz Sparse Linear Algebra
R-TTR-0.23.3.tgz Technical trading rules
R-VGAM-1.0.5.tgz Vector Generalized Linear and Additive Models
R-XML- Tools for parsing and generating XML within R
R-abind-1.4.5.tgz Combine multi-dimensional arrays
R-akima-0.6.2.tgz Linear or cubic spline interpolation for irregular gridded data
R-aplpack-1.3.0.tgz Functions for drawing special plots
R-assertthat-0.2.0.tgz Easy pre and post assertions
R-base64enc-0.1.3.tgz Tools for base64 encoding
R-bbmle-1.0.20.tgz Tools for general maximum likelihood estimation
R-bindr-0.1.1.tgz Parametrized Active Bindings
R-bit-1.1.14.tgz Class for vectors of 1-bit booleans
R-bitops-1.0.6.tgz Functions for Bitwise operations on integer vectors