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

Peer review:

On CRAN:

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

8 exports 0.36 score 9 dependencies 1 mentions 8 scripts 144 downloads

Last updated 4 years agofrom:4625c531f4. Checks:OK: 3 NOTE: 4. Indexed: yes.

Exports:WACScompareWACSdataWACSestimWACSplotWACSplotdensityWACSreadAgroclimWACSsimulWACSvalid

Dependencies:gmmlatticeMatrixmclustmnormtmvtnormsandwichtmvtnormzoo