Package: easyVerification
Title: Ensemble Forecast Verification for Large Data Sets
Version: 0.4.4
Date: 2017-12-04
Authors@R: c(person("MeteoSwiss",
    role=c("aut", "cph")),
    person("Jonas", "Bhend",  role = c("cre"), 
    email='jonas.bhend@meteoswiss.ch'),
    person("Jacopo", "Ripoldi", role="ctb"),
    person("Claudia", "Mignani", role="ctb"),
    person("Irina", "Mahlstein", role="ctb"),
    person("Rebecca", "Hiller", role="ctb"),
    person("Christoph", "Spirig", role="ctb"),
    person("Mark", "Liniger", role="ctb"),
    person("Andreas", "Weigel", role="ctb"),
    person("Joaqu\'in", "Bedia Jimenez", role='ctb'),
    person("Matteo", "De Felice", role='ctb'), 
    person("Stefan", "Siegert", role="ctb"), 
    person("Katrin", "Sedlmeier", role='ctb'))
Description: 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.
Depends: R (>= 3.0), SpecsVerification (>= 0.5), stats, utils
Imports: pbapply, Rcpp (>= 0.12.9)
Suggests: testthat, knitr, rmarkdown, parallel, R.rsp, verification
LinkingTo: Rcpp
License: GPL-3
Copyright: MeteoSwiss
LazyData: true
URL: http://www.meteoswiss.ch
VignetteBuilder: rmarkdown, R.rsp
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-12-04 08:58:44 UTC; bhj
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@meteoswiss.ch>
Repository: CRAN
Date/Publication: 2017-12-04 09:11:43 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 15:32:51 UTC; windows
Archs: i386, x64
