From 0fb2499655325e71caa269d15259787aaf4f949b Mon Sep 17 00:00:00 2001 From: TAKATSU Tomonari Date: Mon, 6 May 2013 03:00:57 +0000 Subject: -Add new port: math/R-cran-forecast Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling. WWW: http://cran.r-project.org/web/packages/forecast/ --- math/R-cran-forecast/Makefile | 21 +++++++++++++++++++++ math/R-cran-forecast/distinfo | 2 ++ math/R-cran-forecast/pkg-descr | 5 +++++ 3 files changed, 28 insertions(+) create mode 100644 math/R-cran-forecast/Makefile create mode 100644 math/R-cran-forecast/distinfo create mode 100644 math/R-cran-forecast/pkg-descr (limited to 'math/R-cran-forecast') diff --git a/math/R-cran-forecast/Makefile b/math/R-cran-forecast/Makefile new file mode 100644 index 000000000000..f21c869e277f --- /dev/null +++ b/math/R-cran-forecast/Makefile @@ -0,0 +1,21 @@ +# Created by: TAKATSU Tomonari +# $FreeBSD$ + +PORTNAME= forecast +PORTVERSION= 4.03 +CATEGORIES= math +DISTNAME= ${PORTNAME}_${PORTVERSION} + +MAINTAINER= tota@FreeBSD.org +COMMENT= Forecasting functions for time series and linear models + +LICENSE= GPLv2 GPLv3 +LICENSE_COMB= dual + +RUN_DEPENDS= R-cran-fracdiff>0:${PORTSDIR}/math/R-cran-fracdiff \ + R-cran-RcppArmadillo>=0.2.35:${PORTSDIR}/math/R-cran-RcppArmadillo + +USE_R_MOD= yes +R_MOD_AUTOPLIST= yes + +.include diff --git a/math/R-cran-forecast/distinfo b/math/R-cran-forecast/distinfo new file mode 100644 index 000000000000..ac8ff0febd8e --- /dev/null +++ b/math/R-cran-forecast/distinfo @@ -0,0 +1,2 @@ +SHA256 (forecast_4.03.tar.gz) = 320f0782f27f91b00393aee326ae1b6c186cc86ec1af03f28f22d232ecad7b75 +SIZE (forecast_4.03.tar.gz) = 130568 diff --git a/math/R-cran-forecast/pkg-descr b/math/R-cran-forecast/pkg-descr new file mode 100644 index 000000000000..1cfd01c7985d --- /dev/null +++ b/math/R-cran-forecast/pkg-descr @@ -0,0 +1,5 @@ +Methods and tools for displaying and analysing univariate time +series forecasts including exponential smoothing via state space +models and automatic ARIMA modelling. + +WWW: http://cran.r-project.org/web/packages/forecast/ -- cgit v1.2.3