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2013 | OriginalPaper | Chapter

1. A Gentle Introduction to Rcpp

Author : Dirk Eddelbuettel

Published in: Seamless R and C++ Integration with Rcpp

Publisher: Springer New York

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Abstract

This initial chapter provides a first introduction to Rcpp. It uses a somewhat slower pace and generally more gentle approach than the rest of the book in order to show key concepts which are revisited and discussed in more depth throughout the remainder. So the aim of this chapter is to cover a fairly wide range of material, but at a more introductory level for an initial overview. Two larger examples are studied in detail. We first compute the Fibonacci sequence in three different ways in two languages. Second, we simulate from a multivariate dynamic model provided by a vector autoregression.

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Literature
go back to reference Chambers JM (1998) Programming with Data: A Guide to the S Language. Springer, Heidelberg, ISBN 978-0387985039 Chambers JM (1998) Programming with Data: A Guide to the S Language. Springer, Heidelberg, ISBN 978-0387985039
go back to reference Meyers S (2005) Effective C++: 55 Specific Ways to Improve Your Programs and Designs, 3rd edn. Addison-Wesley Professional, ISBN 978-0321334879 Meyers S (2005) Effective C++: 55 Specific Ways to Improve Your Programs and Designs, 3rd edn. Addison-Wesley Professional, ISBN 978-0321334879
go back to reference Sanderson C (2010) Armadillo: An open source C++ algebra library for fast prototyping and computationally intensive experiments. Tech. rep., NICTA, URL http://arma.sf.net Sanderson C (2010) Armadillo: An open source C++ algebra library for fast prototyping and computationally intensive experiments. Tech. rep., NICTA, URL http://​arma.​sf.​net
Metadata
Title
A Gentle Introduction to Rcpp
Author
Dirk Eddelbuettel
Copyright Year
2013
Publisher
Springer New York
DOI
https://doi.org/10.1007/978-1-4614-6868-4_1

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