Dictionary-like reference for computing scoring rules in a wide range of situations. Covers both parametric forecast distributions (such as mixtures of Gaussians) and distributions generated via simulation.
| Version: | 0.9.4 |
| Depends: | R (≥ 3.00) |
| Imports: | Rcpp (≥ 0.12.0), methods, MASS |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | gsl (≥ 1.8-3), hypergeo (≥ 1.0), knitr, rmarkdown, testthat, crch |
| Published: | 2017-11-03 |
| Author: | Alexander Jordan, Fabian Krueger, Sebastian Lerch |
| Maintainer: | Fabian Krueger <Fabian.Krueger83 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/FK83/scoringRules |
| NeedsCompilation: | yes |
| In views: | TimeSeries |
| CRAN checks: | scoringRules results |
| Reference manual: | scoringRules.pdf |
| Vignettes: |
CRPS formulas Getting Started Evaluating Probabilistic Forecasts with scoringRules |
| Package source: | scoringRules_0.9.4.tar.gz |
| Windows binaries: | r-devel: scoringRules_0.9.4.zip, r-release: scoringRules_0.9.4.zip, r-oldrel: scoringRules_0.9.4.zip |
| OS X El Capitan binaries: | r-release: scoringRules_0.9.4.tgz |
| OS X Mavericks binaries: | r-oldrel: scoringRules_0.9.4.tgz |
| Old sources: | scoringRules archive |
| Reverse imports: | crch |
| Reverse suggests: | ensemblepp |
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