# RcppArmadillo v0.9.850.1.0

Monthly downloads

## 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library

'Armadillo' is a templated C++ linear algebra library (by Conrad
Sanderson) that aims towards a good balance between speed and ease of use. Integer,
floating point and complex numbers are supported, as well as a subset of
trigonometric and statistics functions. Various matrix decompositions are
provided through optional integration with LAPACK and ATLAS libraries.
The 'RcppArmadillo' package includes the header files from the templated
'Armadillo' library. Thus users do not need to install 'Armadillo' itself in
order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is
licensed under Apache License 2; previous releases were under licensed as
MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that;
'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under
the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Note that
Armadillo requires a fairly recent compiler; for the g++ family at least
version 4.6.* is required.

## Readme

## RcppArmadillo: R and Armadillo via Rcpp

### Overview

Armadillo is a templated C++ linear algebra library written by Conrad Sanderson that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries.

A delayed evaluation approach is employed (during compile time) to combine several operations into one, and to reduce (or eliminate) the need for temporaries. This is accomplished through recursive templates and template meta-programming.

This library is useful if C++ has been decided as the language of choice (due to speed and/or integration capabilities), rather than another language.

The RcppArmadillo package includes the header files from the templated Armadillo library. Thus users do not need to install Armadillo itself in order to use RcppArmadillo.

This Armadillo integration provides a nice illustration of the capabilities of the Rcpp package for seamless R and C++ integration.

### Status

The package is under active development with releases to CRAN about once every other month, and widely-used by other CRAN packages as can be seen from the CRAN package page. As of September 2019, there are 658 CRAN packages using RcppArmadillo.

### Documentation

The package contains a pdf vignette which is a pre-print of the paper by Eddelbuettel and Sanderson in CSDA (2014), as well as an introductory vignette for the sparse matrix conversions.

### Authors

Dirk Eddelbuettel, Romain Francois, Doug Bates and Binxiang Ni

### License

GPL (>= 2)

## Functions in RcppArmadillo

Name | Description | |

armadillo_set_seed_random | Set the Armadillo Random Number Generator to a random value | |

RcppArmadillo.package.skeleton | Create a skeleton for a new package that intends to use RcppArmadillo | |

armadillo_set_seed | Set the Armadillo Random Number Generator to the given value | |

armadillo_version | Report the version of Armadillo | |

fastLm | Bare-bones linear model fitting function | |

RcppArmadillo-package | R and Armadillo Integration | |

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## Vignettes of RcppArmadillo

Name | ||

RcppArmadillo-intro.Rnw | ||

RcppArmadillo-sparseMatrix.Rmd | ||

RcppArmadillo.bib | ||

elsarticle-harv.bst | ||

elsarticle.cls | ||

kalmanExample.pdf | ||

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## Last month downloads

## Details

Type | Package |

Date | 2020-02-09 |

License | GPL (>= 2) |

LazyLoad | yes |

LinkingTo | Rcpp |

VignetteBuilder | knitr |

URL | http://dirk.eddelbuettel.com/code/rcpp.armadillo.html |

BugReports | https://github.com/RcppCore/RcppArmadillo/issues |

NeedsCompilation | yes |

Packaged | 2020-02-09 14:12:31.723868 UTC; edd |

Repository | CRAN |

Date/Publication | 2020-02-09 21:00:10 UTC |

suggests | knitr , Matrix , pinp , pkgKitten , reticulate , rmarkdown , slam , tinytest |

imports | methods , Rcpp (>= 0.11.0) , stats , utils |

depends | R (>= 3.3.0) |

Contributors | Doug Bates, Romain Francois, Dirk Eddelbuettel, Binxiang Ni |

#### Include our badge in your README

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