./math/R-forecast, Forecasting functions for time series and linear models

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Branch: CURRENT, Version: 8.7, Package name: R-forecast-8.7, Maintainer: minskim

Methods and tools for displaying and analysing univariate time series
forecasts including exponential smoothing via state space models and
automatic ARIMA modelling.


Required to run:
[lang/g95] [math/R] [math/R-zoo] [devel/R-Rcpp] [devel/R-magrittr] [math/R-fracdiff] [graphics/R-colorspace] [time/R-timeDate] [finance/R-tseries] [graphics/R-ggplot2] [math/R-lmtest] [math/R-RcppArmadillo] [math/R-urca]

Required to build:
[pkgtools/cwrappers]

Master sites: (Expand)


Version history: (Expand)


CVS history: (Expand)


   2019-08-08 21:53:58 by Brook Milligan | Files touched by this commit (189) | Package updated
Log message:
Update all R packages to canonical form.

The canonical form [1] of an R package Makefile includes the
following:

- The first stanza includes R_PKGNAME, R_PKGVER, PKGREVISION (as
  needed), and CATEGORIES.

- HOMEPAGE is not present but defined in math/R/Makefile.extension to
  refer to the CRAN web page describing the package.  Other relevant
  web pages are often linked from there via the URL field.

This updates all current R packages to this form, which will make
regular updates _much_ easier, especially using pkgtools/R2pkg.

[1] http://mail-index.netbsd.org/tech-pkg/2 … 21711.html
   2018-07-28 16:40:53 by Brook Milligan | Files touched by this commit (126)
Log message:
Remove MASTER_SITES= from individual R package Makefiles.

Each R package should include ../../math/R/Makefile.extension, which also
defines MASTER_SITES.  Consequently, it is redundant for the individual
packages to do the same.  Package-specific definitions also prevent
redefining MASTER_SITES in a single common place.
   2018-03-23 17:43:28 by Min Sik Kim | Files touched by this commit (3)
Log message:
math/R-forecast: Import version 8.2

Methods and tools for displaying and analysing univariate time series
forecasts including exponential smoothing via state space models and
automatic ARIMA modelling.