(This article was first published on Thinking inside the box , and kindly contributed to R-bloggers)
Two papers got published recently.
The first one is
Bates and Eddelbuettel (2013).
It is titled
Fast and Elegant Numerical Linear Algebra Using the RcppEigen Package,
and provides a pretty thorough introduction to our
RcppEigen
package which uses Rcpp
to provide access to the Eigen C++
template library from GNU R. The
paper is out as Volume 50, Issue 5 at
the (all electronic, open, and generally awesome)
Journal of Statistical Software. A
bibtex entry is
available.
The second paper is Eddelbuettel and Sanderson (2013). This one is titled RcppArmadillo: Accelerating R with high-performance C++ linear algebra and introduces the RcppArmadillo package which brings Conrad Sanderson's Armadillo C++ template library to GNU R by deploying Rcpp. The paper is currently "in press" at Computational Statistics & Data Analysis but the DOI 10.1016/j.csda.2013.02.005 will remain once a volume and issue is assigned by CSDA.
Preprints of both papers are available via my papers page, and as vignettes in the corresponding packages.
The upcoming Rcpp class in New York will feature Rcpp, RcppArmadillo and RcppEigen. Space is still available.
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Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
