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easystats
🌌 The R easystats-projectperformance
💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)see
🎨 Visualisation toolbox for beautiful and publication-ready figuresreport
📜 🎉 Automated reporting of objects in RbayestestR
👻 Utilities for analyzing Bayesian models and posterior distributionscorrelation
🔗 Methods for Correlation Analysisparameters
📊 Computation and processing of models' parametersinsight
🔮 Easy access to model information for various model objectseffectsize
🐉 Compute and work with indices of effect size and standardized parametersmodelbased
📈 Estimate effects, contrasts and means based on statistical modelsdatawizard
Magic potions to clean and transform your data 🧙blog
📣 The collaborative blogworkflows
GitHub Actions for {easystats} packagescircus
🎪 Contains a variety of fitted models to help the systematic testing of other packagesdashboard
Status of {easystats} packageseasystats.r-universe.dev
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