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/

devel/Makefile

@@ -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

devel/R-cran-glmnet/Makefile

+# $FreeBSD$
+
+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 <bsd.port.mk>

devel/R-cran-glmnet/distinfo

+SHA256 (glmnet_1.8.tar.gz) = 66aa58806e1f9d799341845e79877f55ca627b7a584cc9b06cb9bdb54c56c862
+SIZE (glmnet_1.8.tar.gz) = 495729

devel/R-cran-glmnet/pkg-descr

+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/