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

A multivariate weather generator for daily climate variables based on weather-states (Flecher et al. (2010) <doi:10.1029/2009WR008098>). It uses 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. Must include the variable 'Rain' and can accept as many other variables as desired.

Version:	1.1.0
Depends:	R (≥ 2.10)
Imports:	mclust, mnormt, tmvtnorm, mvtnorm
Published:	2020-06-05
DOI:	10.32614/CRAN.package.WACS
Author:	Denis Allard [aut, cre], Ronan Trépos [aut]
Maintainer:	Ronan Trépos <ronan.trepos at inrae.fr>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
URL:	https://miat.inrae.fr/site/Ronan_TREPOS
NeedsCompilation:	no
CRAN checks:	WACS results

Documentation:

Reference manual:

WACS.html , WACS.pdf

Downloads:

Package source:	WACS_1.1.0.tar.gz
Windows binaries:	r-devel: WACS_1.1.0.zip, r-release: WACS_1.1.0.zip, r-oldrel: WACS_1.1.0.zip
macOS binaries:	r-release (arm64): WACS_1.1.0.tgz, r-oldrel (arm64): WACS_1.1.0.tgz, r-release (x86_64): WACS_1.1.0.tgz, r-oldrel (x86_64): WACS_1.1.0.tgz
Old sources:	WACS archive

Linking:

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