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v1.0.0 tracking issue #67

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sallen12 opened this issue Sep 11, 2024 · 0 comments
Open
16 of 17 tasks

v1.0.0 tracking issue #67

sallen12 opened this issue Sep 11, 2024 · 0 comments
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v1.0.0

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@sallen12
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sallen12 commented Sep 11, 2024 •
edited by frazane
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The scoringRules package in R currently has the following functionality:

  • CRPS for ensemble forecasts
  • CRPS for parametric distributions
  • LogS for ensemble forecasts (via kernel density estimation)
  • LogS for parametric distributions
  • Energy score for ensemble forecasts
  • Variogram score for ensemble forecasts
  • Gaussian kernel score for ensemble forecasts
  • David-Sebastiani score Dawid-Sebastiani Score #32
  • Error-Spread score
  • Weighted CRPS for ensemble forecasts (need to add a and b arguments for default weight function?)
  • Conditional and censored likelihood scores for ensemble forecasts (via kde) (Ready for PR Add censored and conditional likelihood scores #76)
  • Weighted Energy score for ensemble forecasts
  • Weighted Variogram score for ensemble forecasts
  • Weighted Gaussian kernel score for ensemble forecasts (Ready for PR Add weighted versions of the Gaussian kernel score #77)
  • (Discrete) Ranked probability score (RPS)
  • Quantile score
  • Interval score

scoringrules (in python) additionally has:

  • Brier score (special case of the RPS)
  • Weighted interval score
  • Log score (for binary outcomes)
  • Ranked logarithmic score
@sallen12 sallen12 added this to the v1.0.0 milestone Sep 11, 2024
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