svn commit: r449522 - in head/math: . R-cran-CVST

[TAKATSU Tomonari]

Author: tota
Date: Sun Sep 10 07:56:14 2017
New Revision: 449522
URL: https://svnweb.freebsd.org/changeset/ports/449522

Log:
  - Add new port: math/R-cran-CVST
  
    This package implements the fast cross-validation via sequential
    testing (CVST) procedure. CVST is an improved cross-validation
    procedure which uses non-parametric testing coupled with sequential
    analysis to determine the best parameter set on linearly increasing
    subsets of the data. By eliminating underperforming candidates
    quickly and keeping promising candidates as long as possible, the
    method speeds up the computation while preserving the capability
    of a full cross-validation. Additionally to the CVST the package
    contains an implementation of the ordinary k-fold cross-validation
    with a flexible and powerful set of helper objects and methods to
    handle the overall model selection process. The implementations of
    the Cochran's Q test with permutations and the sequential testing
    framework of Wald are generic and can therefore also be used in
    other contexts.
  
    WWW: https://cran.r-project.org/web/packages/CVST/

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

Modified: head/math/Makefile
==============================================================================
--- head/math/Makefile	Sun Sep 10 07:43:37 2017	(r449521)
+++ head/math/Makefile	Sun Sep 10 07:56:14 2017	(r449522)
@@ -32,6 +32,7 @@
     SUBDIR += R-cran-car
     SUBDIR += R-cran-coda
     SUBDIR += R-cran-combinat
+    SUBDIR += R-cran-CVST
     SUBDIR += R-cran-deldir
     SUBDIR += R-cran-dlmodeler
     SUBDIR += R-cran-dplyr

Added: head/math/R-cran-CVST/Makefile
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/R-cran-CVST/Makefile	Sun Sep 10 07:56:14 2017	(r449522)
@@ -0,0 +1,20 @@
+# Created by: TAKATSU Tomonari <tota at FreeBSD.org>
+# $FreeBSD$
+
+PORTNAME=	CVST
+DISTVERSION=	0.2-1
+CATEGORIES=	math
+DISTNAME=	${PORTNAME}_${DISTVERSION}
+
+MAINTAINER=	tota at FreeBSD.org
+COMMENT=	Fast Cross-Validation via Sequential Testing
+
+LICENSE=	GPLv2+
+
+CRAN_DEPENDS=	R-cran-kernlab>0:science/R-cran-kernlab
+BUILD_DEPENDS=	${CRAN_DEPENDS}
+RUN_DEPENDS=	${CRAN_DEPENDS}
+
+USES=		cran:auto-plist
+
+.include <bsd.port.mk>

Added: head/math/R-cran-CVST/distinfo
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/R-cran-CVST/distinfo	Sun Sep 10 07:56:14 2017	(r449522)
@@ -0,0 +1,3 @@
+TIMESTAMP = 1505027642
+SHA256 (CVST_0.2-1.tar.gz) = a27fd2bfa778fce9b9a68d2b9206c66af27b3c36a973dd45ce673886a267aa9f
+SIZE (CVST_0.2-1.tar.gz) = 12452

Added: head/math/R-cran-CVST/pkg-descr
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/R-cran-CVST/pkg-descr	Sun Sep 10 07:56:14 2017	(r449522)
@@ -0,0 +1,16 @@
+This package implements the fast cross-validation via sequential
+testing (CVST) procedure. CVST is an improved cross-validation
+procedure which uses non-parametric testing coupled with sequential
+analysis to determine the best parameter set on linearly increasing
+subsets of the data. By eliminating underperforming candidates
+quickly and keeping promising candidates as long as possible, the
+method speeds up the computation while preserving the capability
+of a full cross-validation. Additionally to the CVST the package
+contains an implementation of the ordinary k-fold cross-validation
+with a flexible and powerful set of helper objects and methods to
+handle the overall model selection process. The implementations of
+the Cochran's Q test with permutations and the sequential testing
+framework of Wald are generic and can therefore also be used in
+other contexts.
+
+WWW: https://cran.r-project.org/web/packages/CVST/