Seamless R And C Integration With Rcpp
Language: English
Published by Springer, 2013
Series: Book 37 of 68 - Use R!
- Softcover
- Used
Condition: Used - Good
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: Este libro explora la integración de los lenguajes de programación R y C++ utilizando Rcpp. Ofrece una guía detallada sobre cómo combinar la potencia estadística de R con la eficiencia de C++ para crear aplicaciones de alto rendimiento. Ideal para estadísticos, científicos de datos y desarrolladores que buscan optimizar sus flujos de trabajo. EAN: 9781461468677 Tipo: Libros Categoría: Tecnología Título: Seamless R And C Integration With Rcpp Autor: Dirk Eddelbuettel Idioma: en Formato: Tapa blanda Año de publicación: 2013.
Seller Inventory # Happ-2026-07-02-67658ae0
- Title
- Seamless R And C Integration With Rcpp
- Author
- Dirk Eddelbuettel
- Publisher
- Springer
- Publication year
- 2013
- Condition
- Good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1461468671
- ISBN 13
- 9781461468677
- Series
- Book 37 of 68: Use R!
Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox. -- Michael Braun, MIT Sloan School of Management
"Seamless R and C++ integration with Rcpp" is simply a wonderful book. For anyone who uses C/C++ and R, it is an indispensable resource. The writing is outstanding. A huge bonus is the section on applications. This section covers the matrix packages Armadillo and Eigen and the GNU Scientific Library as well as RInside which enables you to use R inside C++. These applications are what most of us need to know to really do scientific programming with R and C++. I love this book. -- Robert McCulloch, University of Chicago Booth School of Business
Rcpp is now considered an essential package for anybody doing serious computational research using R. Dirk's book is an excellent companion and takes the reader from a gentle introduction to more advanced applications via numerous examples and efficiency enhancing gems. The book is packed with all you might have ever wanted to know about Rcpp, its cousins (RcppArmadillo, RcppEigen .etc.), modules, package development and sugar. Overall, this book is a must-have on your shelf. -- Sanjog Misra, UCLA Anderson School of Management
The Rcpp package represents a major leap forward for scientific computations with R. With very few lines of C++ code, one has R's data structures readily at hand for further computations in C++. Hence, high-level numerical programming can be made in C++ almost as easily as in R, but often with a substantial speed gain. Dirk is a crucial person in these developments, and his book takes the reader from the first fragile steps on to using the full Rcpp machinery. A very recommended book! --Søren Højsgaard, Department of Mathematical Sciences, Aalborg University, Denmark
"Seamless R and C ++ Integration with Rcpp" provides the first comprehensive introduction to Rcpp. Rcpp has become the most widely-used language extension for R, and is deployed by over one-hundred different CRAN and BioConductor packages. Rcpp permits users to pass scalars, vectors, matrices, list or entire R objects back and forth between R and C++ with ease. This brings the depth of the R analysis framework together with the power, speed, and efficiency of C++.
Dirk Eddelbuettel has been a contributor to CRAN for over a decade and maintains around twenty packages. He is the Debian/Ubuntu maintainer for R and other quantitative software, edits the CRAN Task Views for Finance and High-Performance Computing, is a co-founder of the annual R/Finance conference, and an editor of the Journal of Statistical Software. He holds a Ph.D. in Mathematical Economics from EHESS (Paris), and works in Chicago as a Senior Quantitative Analyst.
"Synopsis" may belong to another edition of this title.
About the Author
Dirk Eddelbuettel has been a contributor to CRAN for over a decade and maintains around twenty packages. He is the Debian/Ubuntu maintainer for R and other quantitative software, edits the CRAN Task Views for Finance and High-Performance Computing, is a co-founder of the annual R/Finance conference, and an editor of the Journal of Statistical Software. He holds a Ph.D. in Mathematical Economics from EHESS (Paris), and works in Chicago as a Senior Quantitative Analyst.
"About the title" may belong to another edition of this title.
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