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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.
| Version: | 1.0-0 |
| Depends: | R (≥ 2.10.0) |
| Suggests: | ensembleBMA, crch, gamlss, ensembleMOS, SpecsVerification, scoringRules, glmx, ordinal, pROC, mvtnorm |
| Published: | 2019-05-08 |
| DOI: | 10.32614/CRAN.package.ensemblepp |
| Author: | Jakob Messner [aut, cre] |
| Maintainer: | Jakob Messner <jakob.messner at posteo.net> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| Citation: | ensemblepp citation info |
| Materials: | NEWS |
| CRAN checks: | ensemblepp results |
| Reference manual: | ensemblepp.pdf |
| Package source: | ensemblepp_1.0-0.tar.gz |
| Windows binaries: | r-devel: ensemblepp_1.0-0.zip, r-release: ensemblepp_1.0-0.zip, r-oldrel: ensemblepp_1.0-0.zip |
| macOS binaries: | r-release (arm64): ensemblepp_1.0-0.tgz, r-oldrel (arm64): ensemblepp_1.0-0.tgz, r-release (x86_64): ensemblepp_1.0-0.tgz, r-oldrel (x86_64): ensemblepp_1.0-0.tgz |
| Old sources: | ensemblepp archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.