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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 |
| 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 |
| Reference manual: | WACS.pdf |
| 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 |
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