scoringRules: Scoring Rules for Parametric and Simulated Distribution Forecasts
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: | 1.1.1 |
| Depends: | R (≥ 3.00) |
| Imports: | Rcpp (≥ 0.12.0), methods, MASS, knitr |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | gsl (≥ 1.8-3), hypergeo (≥ 1.0), rmarkdown, testthat, crch, ggplot2 |
| Published: | 2023-05-10 |
| Author: | Alexander I. Jordan
 [aut],
Fabian Krueger
[aut, cre],
Sebastian Lerch
[aut],
Sam Allen [aut],
Maximiliane Graeter [ctb] |
| 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 |
| Citation: | scoringRules citation info |
| In views: | TimeSeries |
| CRAN checks: | scoringRules results |
Documentation:
| Reference manual: | scoringRules.pdf |
| Vignettes: |
Getting Started Evaluating Probabilistic Forecasts with scoringRules Weighted scoringRules |
Downloads:
| Package source: | scoringRules_1.1.1.tar.gz |
| Windows binaries: | r-devel: scoringRules_1.1.1.zip, r-release: scoringRules_1.1.1.zip, r-oldrel: scoringRules_1.1.1.zip |
| macOS binaries: | r-release (arm64): scoringRules_1.1.1.tgz, r-oldrel (arm64): scoringRules_1.1.1.tgz, r-release (x86_64): scoringRules_1.1.1.tgz, r-oldrel (x86_64): scoringRules_1.1.1.tgz |
| Old sources: | scoringRules archive |
Reverse dependencies:
| Reverse imports: | crch, mvgam, scoringutils, telefit |
| Reverse suggests: | bamlss, bayesRecon, ensemblepp, rSPDE |
Linking:
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