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WACS

Multivariate Weather-State Approach Conditionally Skew-Normal Generator

Installation

About

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.

miat.inrae.fr/site/Ronan_TREPOS

Key Metrics

Version 1.1.0
R ≥ 2.10
Published 2020-06-05 1430 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks WACS results

Downloads

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Maintainer

Maintainer

Ronan Trépos

ronan.trepos@inrae.fr

Authors

Denis Allard

aut / cre

Ronan Trépos

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

WACS archive

Depends

R ≥ 2.10

Imports

mclust
mnormt
tmvtnorm
mvtnorm