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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 225 16

  2. bayestestR Public

    👻 Utilities for analyzing Bayesian models and posterior distributions

    R 583 57

  3. parameters Public

    📊 Computation and processing of models' parameters

    R 458 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 913 43

Repositories

Showing 10 of 18 repositories
  • dashboard Public

    Status of {easystats} packages

    HTML 4 1 2 0 Updated Apr 21, 2025
  • insight Public

    🔮 Easy access to model information for various model objects

    R 415 GPL-3.0 40 50 4 Updated Apr 20, 2025
  • effectsize Public

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

    PostScript 345 24 17 (2 issues need help) 2 Updated Apr 20, 2025
  • correlation Public

    🔗 Methods for Correlation Analysis

    R 440 57 59 4 Updated Apr 18, 2025
  • datawizard Public

    Magic potions to clean and transform your data 🧙

    R 225 16 27 8 Updated Apr 18, 2025
  • modelbased Public

    📈 Estimate effects, contrasts and means based on statistical models

    R 243 GPL-3.0 21 20 3 Updated Apr 17, 2025
  • performance Public

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

    R 1,067 GPL-3.0 97 97 6 Updated Apr 16, 2025
  • parameters Public

    📊 Computation and processing of models' parameters

    R 458 GPL-3.0 39 50 4 Updated Apr 16, 2025
  • bayestestR Public

    👻 Utilities for analyzing Bayesian models and posterior distributions

    R 583 GPL-3.0 57 42 2 Updated Apr 16, 2025
  • easystats Public

    🌌 The R easystats-project

    R 1,121 82 40 5 Updated Apr 12, 2025