ggeffects: Tidy Data Frames of Marginal Effects from Regression Models

ggeffects: Tidy Data Frames of Marginal Effects from Regression Models - Published in JOSS (2018)
https://github.com/strengejacke/ggeffects

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estimated-marginal-means hacktoberfest marginal-effects prediction

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report standardization anovas correlation apa easystats visualisation conversion effect-size insight

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Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2


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Package metadata

cran.r-project.org: ggeffects

Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs

  • Homepage: https://strengejacke.github.io/ggeffects/
  • Documentation: http://cran.r-project.org/web/packages/ggeffects/ggeffects.pdf
  • Licenses: MIT + file LICENSE
  • Latest release: 2.3.1 (published 5 months ago)
  • Last Synced: 2025-10-26T03:22:21.361Z (2 months ago)
  • Versions: 60
  • Dependent Packages: 11
  • Dependent Repositories: 20
  • Downloads: 51,141 Last month
  • Docker Downloads: 44,128
  • Rankings:
    • Stargazers count: 0.792%
    • Downloads: 2.111%
    • Forks count: 2.395%
    • Average: 4.562%
    • Dependent packages count: 5.533%
    • Dependent repos count: 6.307%
    • Docker downloads count: 10.237%
  • Maintainers (1)
conda-forge.org: r-ggeffects

  • Homepage: https://strengejacke.github.io/ggeffects
  • Licenses: GPL-3.0-only
  • Latest release: 1.1.4 (published about 3 years ago)
  • Last Synced: 2025-10-26T03:22:21.681Z (2 months ago)
  • Versions: 23
  • Dependent Packages: 1
  • Dependent Repositories: 3
  • Rankings:
    • Dependent repos count: 18.095%
    • Stargazers count: 18.549%
    • Average: 24.189%
    • Dependent packages count: 28.988%
    • Forks count: 31.124%

Score: 20.514590015232194