StandardizedPredictors

Standardized regression predictors for use with StatsModels.jl (centered, z-scored, etc.)

https://github.com/beacon-biosignals/standardizedpredictors.jl

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.4%) to scientific vocabulary

Keywords from Contributors

mixed-models eeg mixed-effects statistical-models
Last synced: 11 months ago · JSON representation

Repository

Standardized regression predictors for use with StatsModels.jl (centered, z-scored, etc.)

Basic Info
  • Host: GitHub
  • Owner: beacon-biosignals
  • License: mit
  • Language: Julia
  • Default Branch: main
  • Homepage:
  • Size: 563 KB
Statistics
  • Stars: 10
  • Watchers: 24
  • Forks: 1
  • Open Issues: 0
  • Releases: 8
Created over 5 years ago · Last pushed 11 months ago
Metadata Files
Readme License Zenodo

README.md

StandardizedPredictors

Stable Dev CI Coverage

This package provides convenient and modular functionality for standardizing regression predictors. Standardizing predictors can increase numerical stability of some estimation procedures when the predictors are on very different scales or when they are non-orthogonal. It can also produce more interpretable regression models in the presence of interaction terms.

The examples in the docs demonstrate the use of StandardizedPredictors.jl with GLM.jl, but they will work with any modeling package that is based on the StatsModels.jl formula.

Owner

  • Name: Beacon Biosignals
  • Login: beacon-biosignals
  • Kind: organization

GitHub Events

Total
  • Watch event: 1
  • Delete event: 22
  • Issue comment event: 10
  • Push event: 38
  • Pull request review event: 19
  • Pull request event: 49
  • Create event: 28
Last Year
  • Watch event: 1
  • Delete event: 22
  • Issue comment event: 10
  • Push event: 38
  • Pull request review event: 19
  • Pull request event: 49
  • Create event: 28

Committers

Last synced: over 3 years ago

All Time
  • Total Commits: 30
  • Total Committers: 5
  • Avg Commits per committer: 6.0
  • Development Distribution Score (DDS): 0.533
Top Committers
Name Email Commits
Dave Kleinschmidt d****t@b****o 14
Phillip Alday p****y@u****m 7
Dave Kleinschmidt d****t@g****m 6
github-actions[bot] 4****]@u****m 2
Kim Laberinto g****t@k****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 7
  • Total pull requests: 79
  • Average time to close issues: 4 months
  • Average time to close pull requests: 3 days
  • Total issue authors: 4
  • Total pull request authors: 6
  • Average comments per issue: 3.43
  • Average comments per pull request: 0.63
  • Merged pull requests: 65
  • Bot issues: 0
  • Bot pull requests: 53
Past Year
  • Issues: 0
  • Pull requests: 43
  • Average time to close issues: N/A
  • Average time to close pull requests: 3 days
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.33
  • Merged pull requests: 32
  • Bot issues: 0
  • Bot pull requests: 41
Top Authors
Issue Authors
  • kleinschmidt (3)
  • palday (2)
  • dmbates (1)
  • dependabot[bot] (1)
  • JuliaTagBot (1)
Pull Request Authors
  • dependabot[bot] (53)
  • palday (18)
  • kleinschmidt (6)
  • github-actions[bot] (4)
  • kimlaberinto (1)
  • christopher-dG (1)
Top Labels
Issue Labels
dependencies (1)
Pull Request Labels
dependencies (53) github_actions (16)

Packages

  • Total packages: 1
  • Total downloads:
    • julia 9 total
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 8
juliahub.com: StandardizedPredictors

Standardized regression predictors for use with StatsModels.jl (centered, z-scored, etc.)

  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 9 Total
Rankings
Dependent repos count: 9.9%
Average: 32.3%
Dependent packages count: 38.9%
Stargazers count: 39.8%
Forks count: 40.4%
Last synced: 11 months ago

Dependencies

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