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| author | TAKATSU Tomonari <tota@FreeBSD.org> | 2015-08-11 20:41:29 +0000 |
|---|---|---|
| committer | TAKATSU Tomonari <tota@FreeBSD.org> | 2015-08-11 20:41:29 +0000 |
| commit | 379450caa9cf3a32f85b6893c30804cb9de33c8a (patch) | |
| tree | 26357cf752784c155b4dbd532804f870492ed279 /math/R-cran-irlba | |
| parent | 59bb1a4781b65eb1392dd00ffd7cf4b8b26a3784 (diff) | |
| download | ports-379450caa9cf3a32f85b6893c30804cb9de33c8a.tar.gz ports-379450caa9cf3a32f85b6893c30804cb9de33c8a.zip | |
- Add new port: math/R-cran-irlba
A fast and memory-efficient method for computing a few approximate
singular values and singular vectors of large matrices.
WWW: https://cran.r-project.org/web/packages/irlba/
Notes
Notes:
svn path=/head/; revision=393972
Diffstat (limited to 'math/R-cran-irlba')
| -rw-r--r-- | math/R-cran-irlba/Makefile | 17 | ||||
| -rw-r--r-- | math/R-cran-irlba/distinfo | 2 | ||||
| -rw-r--r-- | math/R-cran-irlba/pkg-descr | 4 |
3 files changed, 23 insertions, 0 deletions
diff --git a/math/R-cran-irlba/Makefile b/math/R-cran-irlba/Makefile new file mode 100644 index 000000000000..4ffe5b1d2e80 --- /dev/null +++ b/math/R-cran-irlba/Makefile @@ -0,0 +1,17 @@ +# Created by: TAKATSU Tomonari <tota@FreeBSD.org> +# $FreeBSD$ + +PORTNAME= irlba +PORTVERSION= 1.0.3 +CATEGORIES= math +DISTNAME= ${PORTNAME}_${PORTVERSION} + +MAINTAINER= tota@FreeBSD.org +COMMENT= Fast partial SVD by implicitly-restarted Lanczos bidiagonalization + +LICENSE= GPLv2 GPLv3 +LICENSE_COMB= dual + +USES= cran:auto-plist + +.include <bsd.port.mk> diff --git a/math/R-cran-irlba/distinfo b/math/R-cran-irlba/distinfo new file mode 100644 index 000000000000..42e99efad5b4 --- /dev/null +++ b/math/R-cran-irlba/distinfo @@ -0,0 +1,2 @@ +SHA256 (irlba_1.0.3.tar.gz) = deaf82b5670f91bc65a0ff31a2f03c540e210539251c5e0e10b2a707d3ac5ec0 +SIZE (irlba_1.0.3.tar.gz) = 180965 diff --git a/math/R-cran-irlba/pkg-descr b/math/R-cran-irlba/pkg-descr new file mode 100644 index 000000000000..70d40e1d23b5 --- /dev/null +++ b/math/R-cran-irlba/pkg-descr @@ -0,0 +1,4 @@ +A fast and memory-efficient method for computing a few approximate +singular values and singular vectors of large matrices. + +WWW: https://cran.r-project.org/web/packages/irlba/ |