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Titlebook: Seamless R and C++ Integration with Rcpp; Dirk Eddelbuettel Book 2013 The Author 2013 C++.Computational Statistics.Practitioner Book.R.Rcp

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發(fā)表于 2025-3-21 18:54:47 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Seamless R and C++ Integration with Rcpp
編輯Dirk Eddelbuettel
視頻videohttp://file.papertrans.cn/863/862976/862976.mp4
概述Illustrates a range of statistical computations in R using the Rcpp package.Provides a general introduction to extending R with C++ code.Features an appendix for R users new to the C++ programming lan
叢書名稱Use R!
圖書封面Titlebook: Seamless R and C++ Integration with Rcpp; Dirk Eddelbuettel Book 2013 The Author 2013 C++.Computational Statistics.Practitioner Book.R.Rcp
描述.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 pack
出版日期Book 2013
關(guān)鍵詞C++; Computational Statistics; Practitioner Book; R; Rcpp Packages; Seamless
版次1
doihttps://doi.org/10.1007/978-1-4614-6868-4
isbn_softcover978-1-4614-6867-7
isbn_ebook978-1-4614-6868-4Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
copyrightThe Author 2013
The information of publication is updating

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Tools and Setuprs and related . packages needed to deploy the . package. In particular, on Windows, the Rtools collection is used and non-gcc compilers are not supported. On Unix-alike systems such as Linux and OS X, gcc/g++ is the default.
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Sugars some “syntactic sugar” facilities directly in .. In this chapter, we will introduce many of the very useful . features. As our focus is firmly on using ., we will do so without venturing too deeply into the template meta programming approach used to implement it. Some technical details are provide
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RInside an .instance inside your application. Moreover, thanks to the classes provided by ., data interchange between .and .becomes very straightforward. We illustrate . by examining several of the many examples included with the package.
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