freebsd-ports/math/R-cran-LearnBayes/Makefile

# Created by: TAKATSU Tomonari <tota@FreeBSD.org>
# $FreeBSD$

PORTNAME=	LearnBayes
PORTVERSION=	2.15.1
CATEGORIES=	math
DISTNAME=	${PORTNAME}_${PORTVERSION}

MAINTAINER=	tota@FreeBSD.org
COMMENT=	Functions for Learning Bayesian Inference

LICENSE=	GPLv2+

USES=	cran:auto-plist

.include <bsd.port.mk>
- Add a new port: math/R-cran-LearnBayes LearnBayes contains a collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling. WWW: http://cran.r-project.org/web/packages/LearnBayes/ Feature safe: yes 2012-11-23 03:32:01 +01:00			`# Created by: TAKATSU Tomonari <tota@FreeBSD.org>`
			`# $FreeBSD$`

			`PORTNAME= LearnBayes`
- Update to 2.15.1 - Fix LICENSE section - Update WWW: line in pkg-descr 2018-03-28 04:23:13 +02:00			`PORTVERSION= 2.15.1`
- Add a new port: math/R-cran-LearnBayes LearnBayes contains a collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling. WWW: http://cran.r-project.org/web/packages/LearnBayes/ Feature safe: yes 2012-11-23 03:32:01 +01:00			`CATEGORIES= math`
			`DISTNAME= ${PORTNAME}_${PORTVERSION}`

			`MAINTAINER= tota@FreeBSD.org`
			`COMMENT= Functions for Learning Bayesian Inference`

- Update to 2.15.1 - Fix LICENSE section - Update WWW: line in pkg-descr 2018-03-28 04:23:13 +02:00			`LICENSE= GPLv2+`
- Add a new port: math/R-cran-LearnBayes LearnBayes contains a collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling. WWW: http://cran.r-project.org/web/packages/LearnBayes/ Feature safe: yes 2012-11-23 03:32:01 +01:00
Convert Mk/bsd.cran.mk to the Uses framework. PR: ports/184699 Reviewed by: bapt Approved by: portmgr (bdrewery), wen (maintainer, timeout > 2 weeks) 2013-12-28 11:28:40 +01:00			`USES= cran:auto-plist`
- Add a new port: math/R-cran-LearnBayes LearnBayes contains a collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling. WWW: http://cran.r-project.org/web/packages/LearnBayes/ Feature safe: yes 2012-11-23 03:32:01 +01:00
			`.include <bsd.port.mk>`