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README.md
In RcppArmadillo: Rcpp integration for Armadillo templated linear algebra library
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 a month.
Documentation
The package contains a pdf vignette which is a pre-print of the paper by
Eddelbuettel and Sanderson
in CSDA (2013, in print).
Authors
Romain Francois, Dirk Eddelbuettel and Doug Bates
License
GPL (>= 2)
Try the RcppArmadillo package in your browser
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RcppArmadillo documentation built on May 2, 2019, 5 p.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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 a month.
Documentation
The package contains a pdf vignette which is a pre-print of the paper by Eddelbuettel and Sanderson in CSDA (2013, in print).
Authors
Romain Francois, Dirk Eddelbuettel and Doug Bates
License
GPL (>= 2)
Try the RcppArmadillo package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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