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JOSS: https://github.com/jbytecode/LinRegOutliers

linear-regression outliers-detection robust-statistics

Score: 10.045637944640806

Last synced: about 7 hours ago
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Repository metadata:

Direct and robust methods for outlier detection in linear regression


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 16 days ago

Total Commits: 516
Total Committers: 5
Avg Commits per committer: 103.2
Development Distribution Score (DDS): 0.058

Commits in past year: 14
Committers in past year: 1
Avg Commits per committer in past year: 14.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
jbytecode m****n@g****m 486
guille a****s@s****u 15
Shreesh Adiga 1****h@g****m 11
Emre Akadal e****l@g****m 3
Tim Holy t****y@g****m 1

Issue and Pull Request metadata

Last synced: 7 months ago

Total issues: 25
Total pull requests: 18
Average time to close issues: 5 months
Average time to close pull requests: about 1 hour
Total issue authors: 6
Total pull request authors: 4
Average comments per issue: 7.48
Average comments per pull request: 0.83
Merged pull request: 18
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/jbytecode/LinRegOutliers

Top Issue Authors

  • jbytecode (18)
  • salleuska (3)
  • stevenaleung (1)
  • angeris (1)
  • PaulSoderlind (1)
  • JuliaTagBot (1)

Top Pull Request Authors

  • tantei3 (9)
  • angeris (5)
  • jbytecode (2)
  • akadal (2)

Top Issue Labels

  • enhancement (12)
  • announcement (2)
  • good first issue (1)
  • documentation (1)
  • performance (1)
  • bug (1)

Top Pull Request Labels


Package metadata

juliahub.com: LinRegOutliers

Direct and robust methods for outlier detection in linear regression

  • Homepage:
  • Documentation: https://docs.juliahub.com/General/LinRegOutliers/stable/
  • Licenses: MIT
  • Latest release: 0.11.7 (published 8 months ago)
  • Last Synced: 2026-04-01T13:37:58.016Z (3 months ago)
  • Versions: 63
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 87 Last month
  • Rankings:
    • Dependent repos count: 9.94%
    • Stargazers count: 15.671%
    • Forks count: 19.353%
    • Average: 20.97%
    • Dependent packages count: 38.915%

Dependencies

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