From owner-svn-ports-head@FreeBSD.ORG Tue Sep 18 18:29:20 2012 Return-Path: Delivered-To: svn-ports-head@freebsd.org Received: from mx1.freebsd.org (mx1.freebsd.org [69.147.83.52]) by hub.freebsd.org (Postfix) with ESMTP id 3F063106567B; Tue, 18 Sep 2012 18:29:20 +0000 (UTC) (envelope-from skreuzer@FreeBSD.org) Received: from svn.freebsd.org (svn.freebsd.org [IPv6:2001:4f8:fff6::2c]) by mx1.freebsd.org (Postfix) with ESMTP id 0FE2A8FC20; Tue, 18 Sep 2012 18:29:20 +0000 (UTC) Received: from svn.freebsd.org (localhost [127.0.0.1]) by svn.freebsd.org (8.14.4/8.14.4) with ESMTP id q8IITJ8F040996; Tue, 18 Sep 2012 18:29:19 GMT (envelope-from skreuzer@svn.freebsd.org) Received: (from skreuzer@localhost) by svn.freebsd.org (8.14.4/8.14.4/Submit) id q8IITJb5040991; Tue, 18 Sep 2012 18:29:19 GMT (envelope-from skreuzer@svn.freebsd.org) Message-Id: <201209181829.q8IITJb5040991@svn.freebsd.org> From: Steven Kreuzer Date: Tue, 18 Sep 2012 18:29:19 +0000 (UTC) To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org X-SVN-Group: ports-head MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Cc: Subject: svn commit: r304453 - in head/devel: . R-cran-glmnet X-BeenThere: svn-ports-head@freebsd.org X-Mailman-Version: 2.1.5 Precedence: list List-Id: SVN commit messages for the ports tree for head List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , X-List-Received-Date: Tue, 18 Sep 2012 18:29:20 -0000 Author: skreuzer Date: Tue Sep 18 18:29:19 2012 New Revision: 304453 URL: http://svn.freebsd.org/changeset/ports/304453 Log: Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, poisson regression and the Cox model. Two recent additions are the multiresponse gaussian, and the grouped multinomial. WWW: http://cran.r-project.org/web/packages/glmnet/ Added: head/devel/R-cran-glmnet/ head/devel/R-cran-glmnet/Makefile (contents, props changed) head/devel/R-cran-glmnet/distinfo (contents, props changed) head/devel/R-cran-glmnet/pkg-descr (contents, props changed) Modified: head/devel/Makefile Modified: head/devel/Makefile ============================================================================== --- head/devel/Makefile Tue Sep 18 18:28:14 2012 (r304452) +++ head/devel/Makefile Tue Sep 18 18:29:19 2012 (r304453) @@ -16,6 +16,7 @@ SUBDIR += R-cran-chron SUBDIR += R-cran-foreach SUBDIR += R-cran-gbm + SUBDIR += R-cran-glmnet SUBDIR += R-cran-gsubfn SUBDIR += R-cran-iterators SUBDIR += R-cran-itertools Added: head/devel/R-cran-glmnet/Makefile ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/devel/R-cran-glmnet/Makefile Tue Sep 18 18:29:19 2012 (r304453) @@ -0,0 +1,16 @@ +# $FreeBSD$ + +PORTNAME= glmnet +PORTVERSION= 1.8 +CATEGORIES= devel +DISTNAME= ${PORTNAME}_${PORTVERSION} + +MAINTAINER= skreuzer@FreeBSD.org +COMMENT= Lasso and elastic-net regularized generalized linear models + +LICENSE= GPLv2 + +USE_R_MOD= yes +R_MOD_AUTOPLIST= yes + +.include Added: head/devel/R-cran-glmnet/distinfo ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/devel/R-cran-glmnet/distinfo Tue Sep 18 18:29:19 2012 (r304453) @@ -0,0 +1,2 @@ +SHA256 (glmnet_1.8.tar.gz) = 66aa58806e1f9d799341845e79877f55ca627b7a584cc9b06cb9bdb54c56c862 +SIZE (glmnet_1.8.tar.gz) = 495729 Added: head/devel/R-cran-glmnet/pkg-descr ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/devel/R-cran-glmnet/pkg-descr Tue Sep 18 18:29:19 2012 (r304453) @@ -0,0 +1,7 @@ +Extremely efficient procedures for fitting the entire lasso or +elastic-net regularization path for linear regression, logistic and +multinomial regression models, poisson regression and the Cox model. +Two recent additions are the multiresponse gaussian, and the grouped +multinomial. + +WWW: http://cran.r-project.org/web/packages/glmnet/