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Published October 24, 2021 | Version v0.25.21
Software Open

JuliaStats/Distributions.jl: v0.25.21

Authors/Creators

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

Description

Distributions v0.25.21

Diff since v0.25.20

Closed issues:

  • Cannot take multiple samples from Categorical unless parameter is of type Vector{Float64} (#567)
  • Inconsistent handling of endpoints in truncated distributions (#632)
  • Visualizations of distributions in documentation (#1064)
  • Discrete distributions CDF does not support Inf input (#1073)
  • Add LKJ distribution for cholesky factor of correlation matrix (#1336)
  • sampletype of Uniform (#1406)

Merged pull requests:

  • Improve pdf, logpdf, cdf, and ccdf of Uniform (#1411) (@devmotion)

Files

JuliaStats/Distributions.jl-v0.25.21.zip

Files (432.9 kB)

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Additional details

Related works

Is supplement to
https://github.com/JuliaStats/Distributions.jl/tree/v0.25.21 (URL)