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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.

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

Documentation:

Reference manual: ensemblepp.pdf

Downloads:

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

Linking:

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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.