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Extending R with C++: A Brief Introduction to Rcpp

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  • Dirk Eddelbuettel
  • James Joseph Balamuta

Abstract

R has always provided an application programming interface (API) for extensions. Based on the C language, it uses a number of macros and other low-level constructs to exchange data structures between the R process and any dynamically loaded component modules authors added to it. With the introduction of the Rcpp package, and its later refinements, this process has become considerably easier yet also more robust. By now, Rcpp has become the most popular extension mechanism for R. This article introduces Rcpp, and illustrates with several examples how the Rcpp Attributes mechanism in particular eases the transition of objects between R and C++ code. Supplementary materials for this article are available online.

Suggested Citation

  • Dirk Eddelbuettel & James Joseph Balamuta, 2018. "Extending R with C++: A Brief Introduction to Rcpp," The American Statistician, Taylor & Francis Journals, vol. 72(1), pages 28-36, January.
    • Handle: RePEc:taf:amstat:v:72:y:2018:i:1:p:28-36
    DOI: 10.1080/00031305.2017.1375990
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    References listed on IDEAS

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    1. Eddelbuettel, Dirk & Sanderson, Conrad, 2014. "RcppArmadillo: Accelerating R with high-performance C++ linear algebra," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1054-1063.
    2. Eddelbuettel, Dirk & Francois, Romain, 2011. "Rcpp: Seamless R and C++ Integration," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i08).
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    Cited by:

    1. Bénard, Annaëlle & Lengagne, Thierry & Bonenfant, Christophe, 2024. "Integration of animal movement into wildlife-vehicle collision models," Ecological Modelling, Elsevier, vol. 492(C).

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