Index: head/math/R-cran-MCMCpack/Makefile
===================================================================
--- head/math/R-cran-MCMCpack/Makefile	(revision 418526)
+++ head/math/R-cran-MCMCpack/Makefile	(revision 418527)
@@ -1,19 +1,20 @@
 # Created by: TAKATSU Tomonari <tota@FreeBSD.org>
 # $FreeBSD$
 
 PORTNAME=	MCMCpack
-DISTVERSION=	1.3-3
-PORTREVISION=	5
+DISTVERSION=	1.3-6
 CATEGORIES=	math
 DISTNAME=	${PORTNAME}_${DISTVERSION}
 
 MAINTAINER=	tota@FreeBSD.org
 COMMENT=	Markov chain Monte Carlo Package
 
 LICENSE=	GPLv3
 
-RUN_DEPENDS=	R-cran-coda>0.11.3:math/R-cran-coda
+RUN_DEPENDS=	R-cran-coda>0.11.3:math/R-cran-coda \
+		R-cran-mcmc>0:math/R-cran-mcmc \
+		R-cran-quantreg>0:math/R-cran-quantreg
 
 USES=		cran:auto-plist,compiles
 
 .include <bsd.port.mk>
Index: head/math/R-cran-MCMCpack/distinfo
===================================================================
--- head/math/R-cran-MCMCpack/distinfo	(revision 418526)
+++ head/math/R-cran-MCMCpack/distinfo	(revision 418527)
@@ -1,2 +1,3 @@
-SHA256 (MCMCpack_1.3-3.tar.gz) = e6e8f790ac109cb62ea78645dff199f25c5a40a5eaa51e1b9f4e5c7c08183268
-SIZE (MCMCpack_1.3-3.tar.gz) = 509352
+TIMESTAMP = 1468488779
+SHA256 (MCMCpack_1.3-6.tar.gz) = d28a7192ace6a6e3c5ccd88dcc14eae4bbaed3abc1afd851e70eab1bdff6de03
+SIZE (MCMCpack_1.3-6.tar.gz) = 544105
Index: head/math/R-cran-MCMCpack/pkg-descr
===================================================================
--- head/math/R-cran-MCMCpack/pkg-descr	(revision 418526)
+++ head/math/R-cran-MCMCpack/pkg-descr	(revision 418527)
@@ -1,11 +1,10 @@
 This package contains functions to perform Bayesian inference using
 posterior simulation for a number of statistical models. Most
 simulation is done in compiled C++ written in the Scythe Statistical
 Library Version 1.0.3. All models return coda mcmc objects that can
-then be summarized using the coda package. MCMCpack also contains
-some useful utility functions, including some additional density
-functions and pseudo-random number generators for statistical
-distributions, a general purpose Metropolis sampling algorithm, and
-tools for visualization.
+then be summarized using the coda package. Some useful utility
+functions such as density functions, pseudo-random number generators
+for statistical distributions, a general purpose Metropolis sampling
+algorithm, and tools for visualization are provided.
 
-WWW: http://cran.r-project.org/web/packages/MCMCpack/
+WWW: https://cran.r-project.org/web/packages/MCMCpack/