R-RcppArmadillo
Port variant standard
Summary Interface to Armadillo linear algebra library
Package version 0.12.8.0.0
Homepage https://github.com/RcppCore/RcppArmadillo
Keywords cran
Maintainer CRAN Automaton
License Not yet specified
Other variants There are no other variants.
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Ravensource Port Directory | History
Last modified 10 FEB 2024, 15:48:34 UTC
Port created 15 APR 2020, 07:13:19 UTC
Subpackage Descriptions
single RcppArmadillo: 'Rcpp' Integration for the 'Armadillo' Templated Linear AlgebraLibrary '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'.
Configuration Switches (platform-specific settings discarded)
This port has no build options.
Package Dependencies by Type
Build (only) gmake:primary:standard
R:primary:standard
icu:dev:standard
Build and Runtime R-Rcpp:single:standard
Runtime (only) R:primary:standard
R:nls:standard
Download groups
main mirror://CRAN/src/contrib
https://loki.dragonflybsd.org/cranfiles/
Distribution File Information
1ddc791ca0b11c849654ad39eb56eb5eaaedacb0b493ee303493c046c620765e 1405254 CRAN/RcppArmadillo_0.12.8.0.0.tar.gz
Ports that require R-RcppArmadillo:standard
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R-forecast:standard Forecasting for time series and linear models
R-graphlayouts:standard Layout algorithms for network visualization