WACS: Multivariate Weather-State Approach Conditionally Skew-Normal Generator

Multivariate weather generator for daily climate variables based on weather-states using a Markov chain for modeling the succession of weather states. Conditionally to the weather states, the multivariate variables are modeled using the family of Complete Skew-Normal distributions. Parameters are estimated on measured series. Data must include the variable 'Rain' and can accept as many other variables as desired.

Version: 1.0
Depends: R (≥ 2.10), mclust, mnormt, tmvtnorm, mvtnorm
Suggests: R.rsp
Published: 2016-02-25
Author: Denis Allard [aut, cre], Ronan Trepos [aut]
Maintainer: Denis Allard <allard at avignon.inra.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
URL: http://informatique-mia.inra.fr/biosp/allard#WACS
NeedsCompilation: no
CRAN checks: WACS results


Reference manual: WACS.pdf
Vignettes: WACSgen: User guide and description of the model
Package source: WACS_1.0.tar.gz
Windows binaries: r-devel: WACS_1.0.zip, r-release: WACS_1.0.zip, r-oldrel: WACS_1.0.zip
OS X El Capitan binaries: r-release: WACS_1.0.tgz
OS X Mavericks binaries: r-oldrel: WACS_1.0.tgz


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