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r-cran-rcpparmadillo package

r-cran-rcpparmadillo 0.5.400.2.0-1 source package in Ubuntu

Changelog

r-cran-rcpparmadillo (0.5.400.2.0-1) unstable; urgency=low

  * New upstream release
  
  * debian/control: Set Build-Depends: to current R version

 -- Dirk Eddelbuettel <email address hidden>  Mon, 17 Aug 2015 06:00:00 -0500

Upload details

Uploaded by:
Dirk Eddelbuettel
Uploaded to:
Sid
Original maintainer:
Dirk Eddelbuettel
Architectures:
any
Section:
misc
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section

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File Size SHA-256 Checksum
r-cran-rcpparmadillo_0.5.400.2.0-1.dsc 1.9 KiB 98c8cfe981e924e1d3f2ec3f13c3aa241ccda6454ef106dde7981c1051c372d6
r-cran-rcpparmadillo_0.5.400.2.0.orig.tar.gz 948.3 KiB 243372ae74e610b921210e54a3aecc2d4bf8b400a3ca766116cdc7d8943847b7
r-cran-rcpparmadillo_0.5.400.2.0-1.diff.gz 3.2 KiB 96bb911868460657205ed9fbaff44ea25d3d0d9df7eabb5cf83f970e8ef78678

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No changes file available.

Binary packages built by this source

r-cran-rcpparmadillo: No summary available for r-cran-rcpparmadillo in ubuntu wily.

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r-cran-rcpparmadillo-dbgsym: debug symbols for package r-cran-rcpparmadillo

 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.
 .
 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.
 .
 Armadillo is licensed under the MPL 2.0, while RcppArmadillo (the Rcpp
 bindings/bridge to Armadillo) is licensed under the GNU GPL version 2
 or later, as is the rest of Rcpp.