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

“Statistics are like sausages. It’s better not to see them being made, unless you use easystats.”

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 datawizard Public

    Magic potions to clean and transform your data 🧙

    R 235 16

  2. bayestestR bayestestR Public

    👻 Utilities for analyzing Bayesian models and posterior distributions

    R 590 64

  3. parameters parameters Public

    📊 Computation and processing of models' parameters

    R 490 43

  4. performance performance Public

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

    R 1.1k 106

  5. effectsize effectsize Public

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

    R 347 23

  6. see see Public

    🎨 Visualisation toolbox for beautiful and publication-ready figures

    R 947 46

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