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Published January 12, 2023 | Version v0.25.80
Software Open

JuliaStats/Distributions.jl: v0.25.80

  • 1. The Chinese University of Hong Kong
  • 2. Caltech
  • 3. Meta
  • 4. Uppsala University
  • 5. @JuliaComputing
  • 6. Zuse Institute Berlin
  • 7. University of Wisconsin
  • 8. Duke University
  • 9. Rice University
  • 10. Beacon Biosignals
  • 11. University of Gothenburg and Chalmers Technical University
  • 12. SecondSpectrum
  • 13. University of California, Berkeley
  • 14. The University of Manchester
  • 15. Harvard Medical School
  • 16. Corteva
  • 17. @JuliaComputing @Julialang
  • 18. Sapienza - University of Rome
  • 19. @invenia
  • 20. The University of Iowa
  • 21. @PumasAI
  • 22. Hudson River Trading
  • 23. @parityai

Description

Distributions v0.25.80

Diff since v0.25.79

Closed issues:

  • pdf(d, range) takes more time because it calls excessive pdf(d, v) internally (#636)
  • Standard MvNormal, Inconsistency with Normal, and I (#826)
  • Inconsistency between single-arg MvNormal and Normal (#1203)
  • No power law distribution? (#1599)
  • Ambiguities with 0-dimensional arrays and univariate distributions (#1650)
  • Dirichlet pdf/ logpdf (#1652)
  • Affine distributions with useless requirements ? (#1653)

Merged pull requests:

  • CompatHelper: bump compat for GR to 0.71 for package docs, (keep existing compat) (#1642) (@github-actions[bot])
  • Add Dependabot configuration for GitHub Actions updates (#1646) (@EwoutH)
  • Bump codecov/codecov-action from 1 to 3 (#1647) (@dependabot[bot])
  • Bump actions/cache from 1 to 3 (#1648) (@dependabot[bot])
  • Bump actions/checkout from 2 to 3 (#1649) (@dependabot[bot])
  • Generalize affine distributions to negative scales (#1657) (@ParadaCarleton)

Files

JuliaStats/Distributions.jl-v0.25.80.zip

Files (485.4 kB)

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