Description The Rcpp package provides a C++ library which facilitates 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. Several examples are included, and 773 unit tests in 366 unit test functions provide additiona
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