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“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 unifyingand consistent framework to tame, discipline, and harness the scary R statisticsand their pesky models.

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

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  1. datawizarddatawizardPublic

    Magic potions to clean and transform your data 🧙

    R 232 17

  2. bayestestRbayestestRPublic

    👻 Utilities for analyzing Bayesian models and posterior distributions

    R 586 59

  3. parametersparametersPublic

    📊 Computation and processing of models' parameters

    R 477 40

  4. performanceperformancePublic

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

    R 1.1k 102

  5. effectsizeeffectsizePublic

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

    R 349 24

  6. seeseePublic

    🎨 Visualisation toolbox for beautiful and publication-ready figures

    R 934 45

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