Index: head/math/R-cran-KFAS/Makefile
===================================================================
--- head/math/R-cran-KFAS/Makefile	(revision 402593)
+++ head/math/R-cran-KFAS/Makefile	(revision 402594)
@@ -1,18 +1,17 @@
 # Created by: TAKATSU Tomonari <tota@FreeBSD.org>
 # $FreeBSD$
 
 PORTNAME=	KFAS
-PORTVERSION=	1.0.4
-PORTREVISION=	1
+PORTVERSION=	1.1.2
 CATEGORIES=	math
 DISTNAME=	${PORTNAME}_${PORTVERSION}
 
 MAINTAINER=	tota@FreeBSD.org
 COMMENT=	Kalman filter and smoothers for exponential family state space models
 
 LICENSE=	GPLv2 GPLv3
 LICENSE_COMB=	dual
 
 USES=	cran:auto-plist
 
 .include <bsd.port.mk>
Index: head/math/R-cran-KFAS/distinfo
===================================================================
--- head/math/R-cran-KFAS/distinfo	(revision 402593)
+++ head/math/R-cran-KFAS/distinfo	(revision 402594)
@@ -1,2 +1,2 @@
-SHA256 (KFAS_1.0.4.tar.gz) = e4187d2c565b658a5d357da5d8c45d5845bef9535c514d044e4b7ba894c5128c
-SIZE (KFAS_1.0.4.tar.gz) = 101477
+SHA256 (KFAS_1.1.2.tar.gz) = 23e646ac55fbde65a84cd4b68af2945b9bb61503306faafe23d43119bf02bba2
+SIZE (KFAS_1.1.2.tar.gz) = 514084
Index: head/math/R-cran-KFAS/pkg-descr
===================================================================
--- head/math/R-cran-KFAS/pkg-descr	(revision 402593)
+++ head/math/R-cran-KFAS/pkg-descr	(revision 402594)
@@ -1,12 +1,12 @@
 Package KFAS provides funchtions for Kalman filtering, state,
 disturbance and simulation smoothing, forecasting and simulation
 of state space models. All functions can use exact diffuse
 initialisation when distributions of some or all elements of initial
 state vector are unknown. Filtering, state smoothing and simulation
 functions use sequential processing algorithm, which is faster than
 standard approach, and it also allows singularity of prediction
 error variance matrix. KFAS also contains function for computing
 the likelihood of exponential family state space models and function
 for state smoothing of exponential family state space models.
 
-WWW: http://cran.r-project.org/web/packages/KFAS/
+WWW: https://cran.r-project.org/web/packages/KFAS/