<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Scoring Rules for Parametric and Simulated Distribution
Forecasts</dc:title>
  <dc:title>R package scoringRules version 1.1.3</dc:title>
  <dc:subject>CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)</dc:subject>
  <dc:description>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 &lt;doi:10.18637/jss.v090.i12&gt;, 
    &lt;doi:10.18637/jss.v110.i08&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.00)</dc:relation>
  <dc:relation>Imports: Rcpp (&gt;= 0.12.0), methods, MASS, knitr</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>Suggests: gsl (&gt;= 1.8-3), hypergeo(&gt;= 1.0), rmarkdown, testthat, crch,
ggplot2</dc:relation>
  <dc:creator>Fabian Krueger &lt;Fabian.Krueger83@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Alexander I. Jordan [aut] (ORCID:
    &lt;https://orcid.org/0000-0001-7423-1352&gt;),
  Fabian Krueger [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-5112-9037&gt;),
  Sebastian Lerch [aut] (ORCID: &lt;https://orcid.org/0000-0002-3467-4375&gt;),
  Sam Allen [aut] (ORCID: &lt;https://orcid.org/0000-0003-1971-8277&gt;),
  Maximiliane Graeter [ctb]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2024-09-18</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=scoringRules</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.scoringRules</dc:identifier>
</oai_dc:dc>
