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 -- Soren Hojsgaard," "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.
"
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