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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 224 16

  2. bayestestR Public

    👻 Utilities for analyzing Bayesian models and posterior distributions

    R 580 56

  3. parameters Public

    📊 Computation and processing of models' parameters

    R 456 39

  4. performance Public

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

    R 1.1k 97

  5. effectsize Public

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

    PostScript 345 24

  6. see Public

    🎨 Visualisation toolbox for beautiful and publication-ready figures

    R 907 43

Repositories

Showing 10 of 18 repositories
  • modelbased Public

    📈 Estimate effects, contrasts and means based on statistical models

    R 243 GPL-3.0 21 21 5 Updated Apr 13, 2025
  • dashboard Public

    Status of {easystats} packages

    HTML 4 1 2 0 Updated Apr 13, 2025
  • parameters Public

    📊 Computation and processing of models' parameters

    R 456 GPL-3.0 39 48 3 Updated Apr 12, 2025
  • easystats Public

    🌌 The R easystats-project

    R 1,118 81 40 5 Updated Apr 12, 2025
  • insight Public

    🔮 Easy access to model information for various model objects

    R 414 GPL-3.0 40 49 3 Updated Apr 12, 2025
  • bayestestR Public

    👻 Utilities for analyzing Bayesian models and posterior distributions

    R 580 GPL-3.0 56 42 2 Updated Apr 11, 2025
  • datawizard Public

    Magic potions to clean and transform your data 🧙

    R 224 16 30 9 Updated Apr 11, 2025
  • circus Public

    🎪 Contains a variety of fitted models to help the systematic testing of other packages

    R 6 GPL-3.0 3 5 0 Updated Apr 11, 2025
  • performance Public

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

    R 1,066 GPL-3.0 97 97 6 Updated Apr 9, 2025
  • correlation Public

    🔗 Methods for Correlation Analysis

    R 440 57 59 5 Updated Apr 8, 2025

Sponsors

  • @mattrussell2
  • @yihui
  • @rempsyc

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