Package: WACS 1.1.0

WACS: Multivariate Weather-State Approach Conditionally Skew-Normal Generator

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.

Authors:Denis Allard [aut, cre], Ronan Trépos [aut]

WACS_1.1.0.tar.gz
WACS_1.1.0.zip(r-4.5)WACS_1.1.0.zip(r-4.4)WACS_1.1.0.zip(r-4.3)
WACS_1.1.0.tgz(r-4.5-any)WACS_1.1.0.tgz(r-4.4-any)WACS_1.1.0.tgz(r-4.3-any)
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WACS.pdf |WACS.html
WACS/json (API)

# Install 'WACS' in R:
install.packages('WACS', repos = c('https://rtrepos.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • ClimateSeries - Synthetic climate series of a french town between 1995 and 2012.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 8 scripts 141 downloads 1 mentions 8 exports 9 dependencies

Last updated 5 years agofrom:4625c531f4. Checks:3 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025
R-4.5-winNOTEMar 08 2025
R-4.5-macNOTEMar 08 2025
R-4.5-linuxNOTEMar 08 2025
R-4.4-winNOTEMar 08 2025
R-4.4-macNOTEMar 08 2025
R-4.4-linuxNOTEMar 08 2025
R-4.3-winOKMar 08 2025
R-4.3-macOKMar 08 2025

Exports:WACScompareWACSdataWACSestimWACSplotWACSplotdensityWACSreadAgroclimWACSsimulWACSvalid

Dependencies:gmmlatticeMatrixmclustmnormtmvtnormsandwichtmvtnormzoo