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
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
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.