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.