Package: ensemblepp 1.0-0
ensemblepp: Ensemble Postprocessing Data Sets
Data sets for the chapter "Ensemble Postprocessing with R" of the book Stephane Vannitsem, Daniel S. Wilks, and Jakob W. Messner (2018) "Statistical Postprocessing of Ensemble Forecasts", Elsevier, 362pp. These data sets contain temperature and precipitation ensemble weather forecasts and corresponding observations at Innsbruck/Austria. Additionally, a demo with the full code of the book chapter is provided.
Authors:
ensemblepp_1.0-0.tar.gz
ensemblepp_1.0-0.zip(r-4.7)ensemblepp_1.0-0.zip(r-4.6)ensemblepp_1.0-0.zip(r-4.5)
ensemblepp_1.0-0.tgz(r-4.6-any)ensemblepp_1.0-0.tgz(r-4.5-any)
ensemblepp_1.0-0.tar.gz(r-4.7-any)ensemblepp_1.0-0.tar.gz(r-4.6-any)
ensemblepp_1.0-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ensemblepp/json (API)
| # Install 'ensemblepp' in R: |
| install.packages('ensemblepp', repos = c('https://jakmes.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:e265d94a79. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 106 | ||
| source / vignettes | OK | 132 | ||
| linux-release-x86_64 | OK | 113 | ||
| macos-release-arm64 | OK | 133 | ||
| macos-oldrel-arm64 | OK | 223 | ||
| windows-devel | OK | 63 | ||
| windows-release | OK | 62 | ||
| windows-oldrel | OK | 476 | ||
| wasm-release | OK | 127 |
Exports:
Dependencies:
