easyVerification: Ensemble Forecast Verification for Large Data Sets

Set of tools to simplify application of atomic forecast verification metrics for (comparative) verification of ensemble forecasts to large data sets. The forecast metrics are imported from the 'SpecsVerification' package, and additional forecast metrics are provided with this package. Alternatively, new user-defined forecast scores can be implemented using the example scores provided and applied using the functionality of this package.

Version: 0.4.1
Depends: R (≥ 3.0), SpecsVerification (≥ 0.4), stats, utils
Imports: pbapply, Rcpp
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown, parallel, R.rsp, verification
Published: 2017-03-13
Author: MeteoSwiss [aut, cph], Jonas Bhend [cre], Jacopo Ripoldi [ctb], Claudia Mignani [ctb], Irina Mahlstein [ctb], Rebecca Hiller [ctb], Christoph Spirig [ctb], Mark Liniger [ctb], Andreas Weigel [ctb], Joaqu'in Bedia Jimenez [ctb], Matteo De Felice [ctb], Stefan Siegert [ctb]
Maintainer: Jonas Bhend <jonas.bhend at meteoswiss.ch>
License: GPL-3
Copyright: MeteoSwiss
URL: http://www.meteoswiss.ch
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: easyVerification results

Downloads:

Reference manual: easyVerification.pdf
Vignettes: Verification of seasonal forecasts from the ECOMS User Data Gateway: a worked example
Package source: easyVerification_0.4.1.tar.gz
Windows binaries: r-devel: easyVerification_0.4.1.zip, r-release: easyVerification_0.4.1.zip, r-oldrel: easyVerification_0.4.1.zip
OS X El Capitan binaries: r-release: easyVerification_0.4.1.tgz
OS X Mavericks binaries: r-oldrel: easyVerification_0.4.1.tgz
Old sources: easyVerification archive

Reverse dependencies:

Reverse suggests: s2dverification

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