Package: WACS 1.2.0
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_1.2.0.tar.gz
WACS_1.2.0.zip(r-4.7-any)WACS_1.2.0.zip(r-4.6-any)WACS_1.2.0.zip(r-4.5-any)
WACS_1.2.0.tgz(r-4.6-any)WACS_1.2.0.tgz(r-4.5-any)
WACS_1.2.0.tar.gz(r-4.7-any)WACS_1.2.0.tar.gz(r-4.6-any)
WACS_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:14aac9048a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 117 | ||
| source / vignettes | OK | 176 | ||
| linux-release | OK | 115 | ||
| macos-release | OK | 158 | ||
| macos-oldrel | OK | 150 | ||
| windows-devel | OK | 82 | ||
| windows-release | OK | 124 | ||
| windows-oldrel | OK | 81 | ||
| wasm-release | OK | 79 |
Exports:WACScompareWACSdataWACSestimWACSplotWACSplotdensityWACSreadAgroclimWACSsimulWACSvalid
Dependencies:gmmlatticeMatrixmclustmnormtmvtnormsandwichtmvtnormzoo
