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authorTAKATSU Tomonari <tota@FreeBSD.org>2015-11-15 10:36:22 +0000
committerTAKATSU Tomonari <tota@FreeBSD.org>2015-11-15 10:36:22 +0000
commitb5a30f07323c19efc568791ab34777f3e36ee18c (patch)
tree0b1b34bf25a8d00b4755893f392717f369402a51 /math/R-cran-RcppEigen
parentf707a1312434f753e672674b6d467c0253eb98df (diff)
Notes
Diffstat (limited to 'math/R-cran-RcppEigen')
-rw-r--r--math/R-cran-RcppEigen/Makefile20
-rw-r--r--math/R-cran-RcppEigen/distinfo2
-rw-r--r--math/R-cran-RcppEigen/pkg-descr16
3 files changed, 38 insertions, 0 deletions
diff --git a/math/R-cran-RcppEigen/Makefile b/math/R-cran-RcppEigen/Makefile
new file mode 100644
index 000000000000..bf0cd50c9ba2
--- /dev/null
+++ b/math/R-cran-RcppEigen/Makefile
@@ -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>
diff --git a/math/R-cran-RcppEigen/distinfo b/math/R-cran-RcppEigen/distinfo
new file mode 100644
index 000000000000..794a37c51922
--- /dev/null
+++ b/math/R-cran-RcppEigen/distinfo
@@ -0,0 +1,2 @@
+SHA256 (RcppEigen_0.3.2.5.1.tar.gz) = 9a2c8300e7dcc837c9c225dc8f9c857bc23785f91134d8868200eb2eb29f81c8
+SIZE (RcppEigen_0.3.2.5.1.tar.gz) = 1235892
diff --git a/math/R-cran-RcppEigen/pkg-descr b/math/R-cran-RcppEigen/pkg-descr
new file mode 100644
index 000000000000..31929559d989
--- /dev/null
+++ b/math/R-cran-RcppEigen/pkg-descr
@@ -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/