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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