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.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-devel (arm64): WACS_1.1.0.tgz, r-release (arm64): WACS_1.1.0.tgz, r-oldrel (arm64): WACS_1.1.0.tgz, r-devel (x86_64): 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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