## Rcpp: Seamless R and C++ Integration
[](https://github.com/RcppCore/Rcpp/actions?query=workflow%3Aci)
[](https://www.gnu.org/licenses/gpl-2.0.html)
[](https://cran.r-project.org/package=Rcpp)
[](https://cran.r-project.org/package=Rcpp)
[](https://app.codecov.io/github/RcppCore/Rcpp?branch=master)
[](https://packages.debian.org/sid/r-cran-rcpp)
[](https://github.com/RcppCore/Rcpp)
[](https://www.r-pkg.org/pkg/Rcpp)
[](https://www.r-pkg.org/pkg/Rcpp)
[](https://cran.r-project.org/package=Rcpp)
[](https://cran.r-project.org/package=Rcpp)
[](https://cran.r-project.org/package=Rcpp)
[](https://stackoverflow.com/questions/tagged/rcpp)
[](https://dx.doi.org/10.18637/jss.v040.i08)
[](https://www.amazon.com/gp/product/1461468671/ref=as_li_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=1461468671&linkCode=as2&tag=rcpp-20&linkId=3P5LNUWOAQ2YMEJ6)
[](https://dx.doi.org/10.1080/00031305.2017.1375990)
### Synopsis
The [Rcpp package](https://cran.r-project.org/package=Rcpp) 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
[Rcpp-introduction](https://cran.r-project.org/package=Rcpp/vignettes/Rcpp-introduction.pdf)
vignette (now published as a
[TAS paper](https://doi.org/10.1080/00031305.2017.1375990); an
[earlier introduction](https://cran.r-project.org/package=Rcpp/vignettes/Rcpp-jss-2011.pdf)
was also published as a [JSS paper](https://doi.org/10.18637/jss.v040.i08)
provides a good entry point to Rcpp as do the [Rcpp
website](https://www.rcpp.org), the [Rcpp
page](https://dirk.eddelbuettel.com/code/rcpp.html) and the [Rcpp
Gallery](https://gallery.rcpp.org). Full documentation is provided by the
[Rcpp book](https://www.amazon.com/gp/product/1461468671/ref=as_li_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=1461468671&linkCode=as2&tag=rcpp-20&linkId=3P5LNUWOAQ2YMEJ6).
Other highlights:
- The 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](https://cran.r-project.org/package=Rcpp/vignettes/Rcpp-extending.pdf) vignette.
- Rcpp also provides Rcpp modules, a framework that allows exposing
C++ functions and classes to the R level. The [Rcpp-modules](https://cran.r-project.org/package=Rcpp/vignettes/Rcpp-modules.pdf) 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](https://cran.r-project.org/package=Rcpp/vignettes/Rcpp-sugar.pdf)
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](https://cran.r-project.org/package=Rcpp/vignettes/Rcpp-attributes.pdf) vignettes for more details.
### Documentation
The package ships with ten pdf vignettes, including a [recent introduction to
Rcpp](https://cran.r-project.org/package=Rcpp/vignettes/Rcpp-introduction.pdf) now
published as a [paper in
TAS](https://doi.org/10.1080/00031305.2017.1375990) (and as a
[preprint in PeerJ](https://peerj.com/preprints/3188/)). Also available is an
[earlier
introduction](https://cran.r-project.org/package=Rcpp/vignettes/Rcpp-jss-2011.pdf)
which was published as a [JSS paper](https://doi.org/10.18637/jss.v040.i08).
Among the other vignettes are the [Rcpp
FAQ](https://cran.r-project.org/package=Rcpp/vignettes/Rcpp-FAQ.pdf) and the
introduction to [Rcpp
Attributes](https://cran.r-project.org/package=Rcpp/vignettes/Rcpp-attributes.pdf).
Additional documentation is available via the [Rcpp book](https://www.amazon.com/gp/product/1461468671/ref=as_li_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=1461468671&linkCode=as2&tag=rcpp-20&linkId=3P5LNUWOAQ2YMEJ6)
by Eddelbuettel (2013, Springer); see 'citation("Rcpp")' for details.
### Performance
Rcpp follows the C++ motto of _"you pay only for what you use"_ and imposes
no _run-time_ performance penalty: Rcpp outperforms related packages in
direct comparison, see for example [this repo for
details](https://github.com/eddelbuettel/ldlasb).
Compile-time performance can be tuned by selecting components. But it is also
worth noting that use of [`ccache`](https://ccache.dev/) will (strongly)
dominate all such possible component choices, we have [previously
recommended](https://dirk.eddelbuettel.com/blog/2017/11/27/) its use.
### Examples
The [Rcpp Gallery](https://gallery.rcpp.org) showcases over one hundred fully
documented and working examples. The
[package RcppExamples](https://cran.r-project.org/package=RcppExamples) contains a few basic
examples covering the core data types.
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 early July
2023, there are 2712 [CRAN](https://cran.r-project.org) packages using Rcpp
(corresponding to 13.7% of all packages, and 59.5% of packages containing
compiled code), a further 250 [BioConductor](https://www.bioconductor.org)
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. The package is in widespread use and has been
downloaded over 72.3 million times (per the partial logs from the cloud mirrors
of CRAN).
### Installation
#### CRAN
Rcpp released on CRAN are carefully tested and curat
Seamless R and C++ Integration.zip （759个子文件） 
Rcpp.bib 30KB Rcpp.bib 30KB jss.bst 32KB init.c 917B init.c 887B convolve2_c.c 647B convolve7_c.c 642B overhead_2.c 501B ChangeLog 402KB changelog 333B r-cran-testrcpppackage_0.1.0-1_i386.changes 2KB r-cran-testrcpppackage_0.1.0-1_amd64.changes 2KB CITATION 2KB cleanup 2KB compat 2B control 370B copyright 1KB attributes.cpp 141KB date.cpp 45KB sugar.cpp 29KB rmath.cpp 22KB Vector.cpp 19KB Matrix.cpp 11KB api.cpp 9KB stats.cpp 8KB wrap.cpp 8KB module.cpp 7KB barrier.cpp 6KB dates.cpp 6KB language.cpp 6KB misc.cpp 6KB Module.cpp 5KB DataFrame.cpp 5KB rcpp_init.cpp 5KB Environment.cpp 4KB RObject.cpp 3KB String.cpp 3KB piWithInterrupts.cpp 3KB RcppExports.cpp 3KB stdVector.cpp 3KB stdVector.cpp 3KB stack.cpp 3KB rcpp_test.cpp 3KB algorithm.cpp 2KB support.cpp 2KB XPtr.cpp 2KB Function.cpp 2KB rcpp_module.cpp 2KB Subset.cpp 2KB S4.cpp 2KB rcpp_module.cpp 2KB ListOf.cpp 2KB stdVector.cpp 2KB as.cpp 2KB exceptions.cpp 2KB Num.cpp 2KB modref.cpp 2KB convolve9_cpp.cpp 1KB Num.cpp 1KB InternalFunctionCPP11.cpp 1KB dispatch.cpp 1KB attributes.cpp 1KB table.cpp 1KB InternalFunction.cpp 1KB VectorOld.cpp 1KB convolve8_cpp.cpp 1KB na.cpp 1KB Timertest.cpp 1KB Reference.cpp 1KB coerce.cpp 1024B convolve10_cpp.cpp 1021B rcppversion.cpp 998B embeddedR.cpp 994B embeddedR2.cpp 994B rcpp_module.cpp 964B Depends.cpp 840B wstring.cpp 835B Export.cpp 743B convolve13_cpp.cpp 705B convolve12_cpp.cpp 676B convolve4_cpp.cpp 675B convolve11_cpp.cpp 626B convolve14_cpp.cpp 624B convolve3_cpp.cpp 584B Num.cpp 575B convolve5_cpp.cpp 550B overhead_1.cpp 498B rcpp_hello_world.cpp 454B user.cpp 376B exporter.cpp 356B rcpp_hello_world_attributes.cpp 281B rcpp_hello_world.cpp 280B rcpp_hello_world.cpp 280B rcpp_hello_world.cpp 276B Exceptions_nocall.cpp 268B piSugar.cpp 233B r-cran-testrcpppackage_0.1.0-1_amd64.deb 16KB r-cran-testrcpppackage_0.1.0-1_amd64.deb 16KB r-cran-testrcpppackage_0.1.0-1_i386.deb 16KB r-cran-testrcpppackage_0.1.0-1_i386.deb 16KB共 759 条
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