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easystats: An R Framework for Easy Statistical Modeling, Visualization, and Reporting

easystats is a collection of R packages, which aims to provide a unifying and consistent framework to tame, discipline, and harness the scary R statistics and their pesky models.

However, there is not (yet) an unique "easystats" way of doing data analysis. Instead, start with one package and, when you'll face a new challenge, do check if there is an easystats answer for it in other packages. You will slowly uncover how using them together facilitates your life. And, who knows, you might even end up using them all.

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  1. datawizard Public

    Magic potions to clean and transform your data 🧙

    R 222 16

  2. bayestestR Public

    👻 Utilities for analyzing Bayesian models and posterior distributions

    R 579 56

  3. parameters Public

    📊 Computation and processing of models' parameters

    R 451 37

  4. performance Public

    💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

    R 1.1k 96

  5. effectsize Public

    🐉 Compute and work with indices of effect size and standardized parameters

    PostScript 344 24

  6. see Public

    🎨 Visualisation toolbox for beautiful and publication-ready figures

    R 901 42

Repositories

Showing 10 of 18 repositories
  • datawizard Public

    Magic potions to clean and transform your data 🧙

    R 222 16 29 6 Updated Mar 7, 2025
  • dashboard Public

    Status of {easystats} packages

    HTML 4 1 2 0 Updated Mar 7, 2025
  • see Public

    🎨 Visualisation toolbox for beautiful and publication-ready figures

    R 901 42 39 (1 issue needs help) 3 Updated Mar 7, 2025
  • workflows Public

    GitHub Actions for {easystats} packages

    10 CC0-1.0 1 6 0 Updated Mar 7, 2025
  • modelbased Public

    📈 Estimate effects, contrasts and means based on statistical models

    R 241 GPL-3.0 22 20 4 Updated Mar 6, 2025
  • insight Public

    🔮 Easy access to model information for various model objects

    R 412 GPL-3.0 40 48 3 Updated Mar 6, 2025
  • easystats Public

    🌌 The R easystats-project

    R 1,117 81 41 5 Updated Mar 4, 2025
  • parameters Public

    📊 Computation and processing of models' parameters

    R 451 GPL-3.0 37 49 1 Updated Mar 4, 2025
  • bayestestR Public

    👻 Utilities for analyzing Bayesian models and posterior distributions

    R 579 GPL-3.0 56 40 2 Updated Mar 4, 2025
  • correlation Public

    🔗 Methods for Correlation Analysis

    R 440 57 57 3 Updated Mar 4, 2025

Sponsors

  • @mattrussell2
  • @yihui
  • @rempsyc

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