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Date:      Sun, 15 Nov 2015 10:36:22 +0000 (UTC)
From:      TAKATSU Tomonari <tota@FreeBSD.org>
To:        ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org
Subject:   svn commit: r401684 - head/math/R-cran-RcppEigen
Message-ID:  <201511151036.tAFAaMUS003118@repo.freebsd.org>

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Author: tota
Date: Sun Nov 15 10:36:22 2015
New Revision: 401684
URL: https://svnweb.freebsd.org/changeset/ports/401684

Log:
  - Add new port: math/R-cran-RcppEigen
  
    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/

Added:
  head/math/R-cran-RcppEigen/
  head/math/R-cran-RcppEigen/Makefile   (contents, props changed)
  head/math/R-cran-RcppEigen/distinfo   (contents, props changed)
  head/math/R-cran-RcppEigen/pkg-descr   (contents, props changed)

Added: head/math/R-cran-RcppEigen/Makefile
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/R-cran-RcppEigen/Makefile	Sun Nov 15 10:36:22 2015	(r401684)
@@ -0,0 +1,20 @@
+# 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>

Added: head/math/R-cran-RcppEigen/distinfo
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/R-cran-RcppEigen/distinfo	Sun Nov 15 10:36:22 2015	(r401684)
@@ -0,0 +1,2 @@
+SHA256 (RcppEigen_0.3.2.5.1.tar.gz) = 9a2c8300e7dcc837c9c225dc8f9c857bc23785f91134d8868200eb2eb29f81c8
+SIZE (RcppEigen_0.3.2.5.1.tar.gz) = 1235892

Added: head/math/R-cran-RcppEigen/pkg-descr
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/R-cran-RcppEigen/pkg-descr	Sun Nov 15 10:36:22 2015	(r401684)
@@ -0,0 +1,16 @@
+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/



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