https://github.com/haskell/statistics

Last synced: about 1 month ago

Repository metadata:

A fast, high quality library for computing with statistics in Haskell.


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Committers metadata

Last synced: about 2 months ago

Total Commits: 1,078
Total Committers: 44
Avg Commits per committer: 24.5
Development Distribution Score (DDS): 0.435

Commits in past year: 19
Committers in past year: 4
Avg Commits per committer in past year: 4.75
Development Distribution Score (DDS) in past year: 0.474

Name Email Commits
Alexey Khudyakov a****y@g****m 609
Bryan O'Sullivan b****s@s****m 315
Bryan O'Sullivan b****o@f****m 24
Daniel Fox Franke d****e@a****m 16
Lorenz Minder l****r@g****t 15
Neil Brown n****l@t****m 14
Danny Navarro j@d****t 7
Oleg Grenrus o****s@i****i 7
Ximin Luo i****0@p****g 5
kaizhang z****1@g****m 5
Luke Nadur 1****e 5
Brian Lewis b****n@l****g 4
ocramz z****o@g****m 4
askeblad 7****d 3
Harendra Kumar h****r@g****m 3
Justin Sermeno j****o@g****m 3
Mihai Maruseac m****c@g****m 3
Andrew Darqui a****i@g****m 2
Bryan O'Sullivan b****s@l****m 2
Finlay Thompson f****y@d****z 2
Gregory W. Schwartz g****h@u****u 2
John McDonnell j****l@g****m 2
Kenta Sato b****5@g****m 2
Michael Snoyman m****l@s****m 2
Mikhail Glushenkov m****v@g****m 2
szabi a****p@g****m 2
Alexander S. Green a****n@g****m 1
Björn Döring b****g@g****m 1
convert-repo n****e@n****e 1
Lars Quentin l****i 1
and 14 more...

Issue and Pull Request metadata

Last synced: about 1 month ago


Package metadata

hackage: statistics

This library provides a number of common functions and types useful in statistics. We focus on high performance, numerical robustness, and use of good algorithms. Where possible, we provide references to the statistical literature. The library's facilities can be divided into four broad categories: Working with widely used discrete and continuous probability distributions. (There are dozens of exotic distributions in use; we focus on the most common.) Computing with sample data: quantile estimation, kernel density estimation, histograms, bootstrap methods, significance testing, and regression and autocorrelation analysis. Random variate generation under several different distributions. Common statistical tests for significant differences between samples.

  • Homepage: https://github.com/haskell/statistics
  • Licenses: BSD-2-Clause
  • Latest release: 0.4.1 (published almost 15 years ago)
  • Last Synced: 2024-11-11T02:44:30.468Z (about 1 month ago)
  • Versions: 66
  • Dependent Packages: 18
  • Dependent Repositories: 303
  • Downloads: 119,420 Total
  • Docker Downloads: 54
  • Rankings:
    • Downloads: 1.096%
    • Docker downloads count: 1.288%
    • Dependent repos count: 1.362%
    • Dependent packages count: 1.447%
    • Average: 2.273%
    • Stargazers count: 3.945%
    • Forks count: 4.498%
  • Maintainers (2)

Dependencies

.github/workflows/ci.yml actions
  • actions/cache v1 composite
  • actions/checkout v2 composite
  • haskell/actions/setup v1 composite
dense-linear-algebra/dense-linear-algebra.cabal hackage
  • base >=4.5 && <5
  • deepseq >=1.1.0.2
  • math-functions >=0.1.7
  • primitive >=0.3
  • vector >=0.10
  • vector-algorithms >=0.4
  • vector-binary-instances >=0.2.1
  • vector-th-unbox *
  • QuickCheck * test
  • base * test
  • dense-linear-algebra * test
  • hspec * test
statistics.cabal hackage
  • aeson >=0.6.0.0
  • async >=2.2.2 && <2.3
  • base >=4.9 && <5
  • binary >=0.5.1.0
  • data-default-class >=0.1.2
  • deepseq >=1.1.0.2
  • dense-linear-algebra ==0.1.*
  • ghc-prim *
  • math-functions >=0.3.4.1
  • mwc-random >=0.15.0.0
  • parallel >=3.2.2.0 && <3.3
  • primitive >=0.3
  • random >=1.2
  • vector >=0.10
  • vector-algorithms >=0.4
  • vector-binary-instances >=0.2.1
  • vector-th-unbox *
  • QuickCheck >=2.7.5 test
  • aeson * test
  • base * test
  • binary * test
  • dense-linear-algebra * test
  • erf * test
  • ieee754 >=0.7.3 test
  • math-functions * test
  • primitive * test
  • statistics * test
  • tasty * test
  • tasty-expected-failure * test
  • tasty-hunit * test
  • tasty-quickcheck * test
  • vector * test
  • vector-algorithms * test