Description 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. 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...
Calling multi-threaded C++ code from R has its perils. Since the R interpreter is single-threaded, o...
<div> description </div> <p><a href="https://www.r-project.org/">R</a> [<a>1</a>] [<a>2</a>] is o...
<p>NIMBLE is a system for building and sharing analysis methods for statistical models, especially ...
Description The Rcpp package provides R functions as well as a C++ library which facilitate the inte...
The Rcpp package simplifies integrating C++ code with R. It provides a consistent C++ class hierarch...
This note discusses Rcpp modules. Rcpp modules allow programmers to expose C++ functions and classes...
Rcpp attributes provide a high-level syntax for declaring C++ functions as callable from R and autom...
This note describes Rcpp sugar which has been introduced in version 0.8.3 of Rcpp (Eddelbuettel, Fra...
This note provides an overview of the steps programmers should follow to extend Rcpp (Eddelbuettel, ...
This document provides a short overview of how to use Rcpp (Eddelbuettel, François, Allaire, Chamber...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
Background and Purpose: Penalized is a R package which allows users to fit penalized regression mode...
The RcppEigen package provides access from R (R Core Team 2012a) to the Eigen (Guennebaud, Jacob, an...
Calling multi-threaded C++ code from R has its perils. Since the R interpreter is single-threaded, o...
<div> description </div> <p><a href="https://www.r-project.org/">R</a> [<a>1</a>] [<a>2</a>] is o...
<p>NIMBLE is a system for building and sharing analysis methods for statistical models, especially ...
Description The Rcpp package provides R functions as well as a C++ library which facilitate the inte...
The Rcpp package simplifies integrating C++ code with R. It provides a consistent C++ class hierarch...
This note discusses Rcpp modules. Rcpp modules allow programmers to expose C++ functions and classes...
Rcpp attributes provide a high-level syntax for declaring C++ functions as callable from R and autom...
This note describes Rcpp sugar which has been introduced in version 0.8.3 of Rcpp (Eddelbuettel, Fra...
This note provides an overview of the steps programmers should follow to extend Rcpp (Eddelbuettel, ...
This document provides a short overview of how to use Rcpp (Eddelbuettel, François, Allaire, Chamber...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
The R statistical environment and language has demonstrated particular strengths for interactive dev...
Background and Purpose: Penalized is a R package which allows users to fit penalized regression mode...
The RcppEigen package provides access from R (R Core Team 2012a) to the Eigen (Guennebaud, Jacob, an...
Calling multi-threaded C++ code from R has its perils. Since the R interpreter is single-threaded, o...
<div> description </div> <p><a href="https://www.r-project.org/">R</a> [<a>1</a>] [<a>2</a>] is o...
<p>NIMBLE is a system for building and sharing analysis methods for statistical models, especially ...