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. Further details can be found in the package vignettes <doi:10.18637/jss.v090.i12>, <doi:10.18637/jss.v110.i08>.

Version:	1.1.3
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:	2024-09-18
DOI:	10.32614/CRAN.package.scoringRules
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 (source, R code) Evaluating Probabilistic Forecasts with scoringRules (source, R code) Weighted scoringRules (source, R code)

Downloads:

Package source:	scoringRules_1.1.3.tar.gz
Windows binaries:	r-devel: scoringRules_1.1.3.zip, r-release: scoringRules_1.1.3.zip, r-oldrel: scoringRules_1.1.3.zip
macOS binaries:	r-release (arm64): scoringRules_1.1.3.tgz, r-oldrel (arm64): scoringRules_1.1.3.tgz, r-release (x86_64): scoringRules_1.1.3.tgz, r-oldrel (x86_64): scoringRules_1.1.3.tgz
Old sources:	scoringRules archive

Reverse dependencies:

Reverse imports:	crch, scoringutils, telefit
Reverse suggests:	bamlss, bayesRecon, ensemblepp, mvgam, rSPDE

Linking:

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