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:
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)
| # Install 'WACS' in R: |
| install.packages('WACS', repos = c('https://rtrepos.r-universe.dev', 'https://cloud.r-project.org')) |
- ClimateSeries - Synthetic climate series of a french town between 1995 and 2012.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:4625c531f4. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 08 2024 |
| R-4.5-win | NOTE | Nov 08 2024 |
| R-4.5-linux | NOTE | Nov 08 2024 |
| R-4.4-win | NOTE | Nov 08 2024 |
| R-4.4-mac | NOTE | Nov 08 2024 |
| R-4.3-win | OK | Nov 08 2024 |
| R-4.3-mac | OK | Nov 08 2024 |
Exports:WACScompareWACSdataWACSestimWACSplotWACSplotdensityWACSreadAgroclimWACSsimulWACSvalid
Dependencies:gmmlatticeMatrixmclustmnormtmvtnormsandwichtmvtnormzoo
