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R and Eigen integration using Rcpp. Eigen is a C++ template library
  for linear algebra: matrices, vectors, numerical solvers and related
  algorithms. It supports dense and sparse matrices on integer,
  floating point and complex numbers, decompositions of such matrices,
  and solutions of linear systems. Its performance on many algorithms
  is comparable with some of the best implementations based on Lapack
  and level-3 BLAS. The RcppEigen package includes the header files
  from the Eigen C++ template library (currently version 3.2.2). Thus
  users do not need to install Eigen itself in order to use RcppEigen.
  Since version 3.1.1, Eigen is licensed under the Mozilla Public
  License (version 2); earlier version were licensed under the GNU
  LGPL version 3 or later. RcppEigen (the Rcpp bindings/bridge to
  Eigen) is licensed under the GNU GPL version 2 or later, as is the
  rest of Rcpp.

  WWW: https://cran.r-project.org/web/packages/RcppEigen/
This commit is contained in:
TAKATSU Tomonari 2015-11-15 10:36:22 +00:00
parent f707a13124
commit b5a30f0732
Notes: svn2git 2021-03-31 03:12:20 +00:00 
svn path=/head/; revision=401684
3 changed files with 38 additions and 0 deletions
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math/R-cran-RcppEigen/Makefile Normal file
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# Created by: TAKATSU Tomonari <tota@FreeBSD.org>
# $FreeBSD$
PORTNAME= RcppEigen
PORTVERSION= 0.3.2.5.1
CATEGORIES= math
DISTNAME= ${PORTNAME}_${PORTVERSION}
MAINTAINER= tota@FreeBSD.org
COMMENT= Rcpp integration for the Eigen templated linear algebra library
LICENSE= GPLv2 GPLv3
LICENSE_COMB= dual
LICENSE_FILE= ${WRKSRC}/LICENSE
RUN_DEPENDS= R-cran-Rcpp>=0.11.0:${PORTSDIR}/devel/R-cran-Rcpp
USES= cran:auto-plist
.include <bsd.port.mk>

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math/R-cran-RcppEigen/distinfo Normal file
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SHA256 (RcppEigen_0.3.2.5.1.tar.gz) = 9a2c8300e7dcc837c9c225dc8f9c857bc23785f91134d8868200eb2eb29f81c8
SIZE (RcppEigen_0.3.2.5.1.tar.gz) = 1235892

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math/R-cran-RcppEigen/pkg-descr Normal file
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R and Eigen integration using Rcpp. Eigen is a C++ template library
for linear algebra: matrices, vectors, numerical solvers and related
algorithms. It supports dense and sparse matrices on integer,
floating point and complex numbers, decompositions of such matrices,
and solutions of linear systems. Its performance on many algorithms
is comparable with some of the best implementations based on Lapack
and level-3 BLAS. The RcppEigen package includes the header files
from the Eigen C++ template library (currently version 3.2.2). Thus
users do not need to install Eigen itself in order to use RcppEigen.
Since version 3.1.1, Eigen is licensed under the Mozilla Public
License (version 2); earlier version were licensed under the GNU
LGPL version 3 or later. RcppEigen (the Rcpp bindings/bridge to
Eigen) is licensed under the GNU GPL version 2 or later, as is the
rest of Rcpp.
WWW: https://cran.r-project.org/web/packages/RcppEigen/