WACS: 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.

Install the latest version of this package by entering the following in R:
AuthorDenis Allard [aut, cre], Ronan Trepos [aut]
Date of publication2016-02-25 18:03:23
MaintainerDenis Allard <allard@avignon.inra.fr>
LicenseGPL (>= 2.0)

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