WACS (1.0)

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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.

Maintainer: Denis Allard
Author(s): Denis Allard [aut, cre], Ronan Trepos [aut]

License: GPL (>= 2.0)

Uses: mclust, mnormt, mvtnorm, tmvtnorm, R.rsp

Released almost 4 years ago.



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