Seamless R and C++ Integration
The 'Rcpp' package provides R functions as well as C++ classes which
offer a seamless integration of R and C++. Many R data types and objects can be
mapped back and forth to C++ equivalents which facilitates both writing of new
code as well as easier integration of third-party libraries. Documentation
about 'Rcpp' is provided by several vignettes included in this package, via the
'Rcpp Gallery' site at <http://gallery.rcpp.org>, the paper by Eddelbuettel and
Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013,
<doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018,
<doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.
Rcpp: Seamless R and C++ Integration
The Rcpp package integrates R and C++ via R functions and a (header-only) C++ library.
All underlying R types and objects, i.e., everything a
SEXP represents internally
in R, are matched to corresponding C++ objects. This covers anything from vectors,
matrices or lists to environments, functions and more. Each
SEXP variant is
automatically mapped to a dedicated C++ 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
vignette (now published as a
TAS paper; an
was also published as a JSS paper)
provides a good entry point to Rcpp as do the Rcpp
website, the Rcpp
page and the Rcpp
Gallery. Full documentation is provided by the
The conversion from C++ to R and back is driven by the templates
Rcpp::aswhich 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 gives an overview of the feature.
Rcpp attributes provide a high-level syntax for declaring C++ functions as callable from R and automatically generating the code required to invoke them. Attributes are intended to facilitate both interactive use of C++ within R sessions as well as to support R package development. Attributes are built on top of Rcpp modules and their implementation is based on previous work in the inline package. See the Rcpp-atttributes vignettes for more details.
The package ships with nine pdf vignettes, including a recent introduction to Rcpp now published as a paper in TAS (and as a preprint in PeerJ). Also available is an earlier introduction which was published as a JSS paper)
Among the other vignettes are the Rcpp FAQ and the introduction to Rcpp Attributes. Additional documentation is available via the Rcpp book by Eddelbuettel (2013, Springer); see 'citation("Rcpp")' for details.
A number of examples are included, as are well over one thousand unit tests which provide additional usage examples.
An earlier version of Rcpp, containing what we now call the 'classic Rcpp API' was written during 2005 and 2006 by Dominick Samperi. This code has been factored out of Rcpp into the package RcppClassic, and it is still available for code relying on the older interface. New development should always use this Rcpp package instead.
Other usage examples are provided by packages using Rcpp. As of June 2020, there are 1990 CRAN packages using Rcpp, a further 203 BioConductor packages in its current release as well as an unknown number of GitHub, Bitbucket, R-Forge, ... repositories using Rcpp. All these packages provide usage examples for Rcpp.
Released and tested versions of Rcpp are available via the CRAN network, and can be installed from within R via
To install from source, ensure you have a complete package development environment for R as discussed in the relevant documentation; also see questions 1.2 and 1.3 in the Rcpp-FAQ.
The best place for questions is the Rcpp-devel mailing list hosted at R-forge. Note that in order to keep spam down, you must be a subscriber in order to post. One can also consult the list archives to see if your question has been asked before.
Another option is to use
StackOverflow and its 'rcpp' tag.
Search functionality (use
rcpp in squared brackets as in
[rcpp] my question terms
to tag the query) is very valuable as many questions have indeed been asked, and
The issue tickets at the GitHub repo are the primary bug reporting interface. As with the other web resources, previous issues can be searched as well.
Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Doug Bates, and John Chambers
GPL (>= 2)
Functions in Rcpp
|loadRcppModules-deprecated||Loads Rcpp modules on package startup|
|Rcpp-internal||Rcpp internal functions|
|cppFunction||Define an R Function with a C++ Implementation|
|compileAttributes||Compile Rcpp Attributes for a Package|
|compilerCheck||Check for Minimal (g++) Compiler Version|
|RcppUnitTests||Rcpp : unit tests results|
|LdFlags-deprecated||Deprecated Rcpp Linker Flags|
|Rcpp-package||R / C++ interface|
|exposeClass||Create an Rcpp Module to Expose a C++ Class in R|
|getRcppVersion||Export the Rcpp (API) Package Version|
|populate||Populates a namespace or an environment with the content of a module|
|sourceCpp||Source C++ Code from a File or String|
|registerPlugin||Register an inline plugin|
|Rcpp.package.skeleton||Create a skeleton for a new package depending on Rcpp|
|Rcpp.plugin.maker||Facilitating making package plugins|
|evalCpp||Evaluate a C++ Expression|
|formals<--methods||Set the formal arguments of a C++ function|
|loadModule||Load an Rcpp Module into a Package|
|setRcppClass||Create a Class Extending a C++ Class|
|demangle||c++ type information|
|C++Class-class||Reflection information for an internal c++ class|
|Module||Retrieves an Rcpp module|
|Rcpp-deprecated||Deprecated Functions in the Rcpp Package|
|C++Object-class||c++ internal objects|
Vignettes of Rcpp
Last month downloads
|URL||http://www.rcpp.org, https://dirk.eddelbuettel.com/code/rcpp.html, https://github.com/RcppCore/Rcpp|
|License||GPL (>= 2)|
|Packaged||2020-07-01 16:50:09.72105 UTC; edd|
|Date/Publication||2020-07-06 13:40:08 UTC|
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