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: 0.4.5
Depends: R (≥ 3.0), SpecsVerification (≥ 0.5), stats, utils
Imports: pbapply, Rcpp (≥ 0.12.9)
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown, parallel, R.rsp, verification
Published: 2023-08-15
DOI: 10.32614/CRAN.package.easyVerification
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], Katrin Sedlmeier [ctb]
Maintainer: Jonas Bhend <jonas.bhend at meteoswiss.ch>
BugReports: https://github.com/jonasbhend/easyVerification/issues
License: GPL-3
Copyright: MeteoSwiss
URL: https://www.meteoswiss.admin.ch, https://github.com/jonasbhend/easyVerification
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: easyVerification results

Documentation:

Reference manual: easyVerification.pdf
Vignettes: Verification of seasonal forecasts from the ECOMS User Data Gateway: a worked example

Downloads:

Package source: easyVerification_0.4.5.tar.gz
Windows binaries: r-devel: easyVerification_0.4.5.zip, r-release: easyVerification_0.4.5.zip, r-oldrel: easyVerification_0.4.5.zip
macOS binaries: r-release (arm64): easyVerification_0.4.5.tgz, r-oldrel (arm64): easyVerification_0.4.5.tgz, r-release (x86_64): easyVerification_0.4.5.tgz, r-oldrel (x86_64): easyVerification_0.4.5.tgz
Old sources: easyVerification archive

Reverse dependencies:

Reverse depends: CSTools
Reverse imports: s2dv

Linking:

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