@article{Eddelbuettel:Francois:2011:JSSOBK:v40i08,
  author =	"Dirk Eddelbuettel and Romain Francois",
  title =	"Rcpp: Seamless {R} and {C++} Integration",
  journal =	"Journal of Statistical Software",
  volume =	"40",
  number =	"8",
  pages =	"1--18",
  day =  	"13",
  month =	"4",
  year = 	"2011",
  CODEN =	"JSSOBK",
  ISSN = 	"1548-7660",
  bibdate =	"2011-03-21",
  URL =  	"http://www.jstatsoft.org/v40/i08",
  accepted =	"2011-03-21",
  acknowledgement = "",
  keywords =	"",
  submitted =	"2010-11-15",
}

@article{eddelbuettel2014rcpparmadillo,
  title={Rcpparmadillo: Accelerating {R} with high-performance {C++} linear algebra},
  author={Eddelbuettel, Dirk and Sanderson, Conrad},
  journal={Computational Statistics \& Data Analysis},
  volume={71},
  pages={1054--1063},
  year={2014},
  publisher={Elsevier}
}

@article{curtin2013mlpack,
  title={{MLPACK}: A scalable {C++} machine learning library},
  author={Curtin, Ryan and Cline, James and Slagle, Neil and March, William and Ram, Parikshit and Mehta, Nishant and Gray, Alexander},
  journal={The Journal of Machine Learning Research},
  volume={14},
  number={1},
  pages={801--805},
  year={2013},
  publisher={JMLR. org}
}

@TECHREPORT{arma,
  author = {Conrad Sanderson},
  title = {Armadillo: An Open Source {C++} Linear Algebra Library for Fast Prototyping
	and Computationally Intensive Experiments},
  institution = {NICTA},
  year = {2010},
  owner = {Administrator},
  timestamp = {2014.01.11},
  url = {http://arma.sf.net/}
}

@MANUAL{inline,
  title = {{inline}: inline {C}, {C++}, {Fortran} function calls from {R}},
  author = {Oleg Sklyar and Duncan Murdoch and Mike Smith and Dirk Eddelbuettel
	and Romain Fran\c{c}ois},
  year = {2013},
  note = {R package version 0.3.13},
  owner = {Administrator},
  timestamp = {2013.12.29},
  url = {http://cran.r-project.org/web/package=inline}
}

@MANUAL{rbenchmark,
  title = {rbenchmark: Benchmarking routine for {R}},
  author = {Wacek Kusnierczyk},
  year = {2012},
  note = {R package version 1.0},
  url = {http://cran.r-project.org/packages=rbenchmark}
}
