Magic potions to clean and transform your data 🧙
R 104 6
👻 Utilities for analyzing Bayesian models and posterior distributions
R 484 50
📊 Computation and processing of models' parameters
R 303 30
💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
R 680 48
🐉 Compute and work with indices of effect size and standardized parameters
R 260 15
🎨 Visualisation toolbox for beautiful and publication-ready figures
R 623 32
🔮 Easy access to model information for various model objects
🌌 The R easystats-project
📈 Estimate effects, contrasts and means based on statistical models
📜 🎉 Automated reporting of objects in R
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