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🌌 The R easystats-project
💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
🎨 Visualisation toolbox for beautiful and publication-ready figures
📜 🎉 Automated reporting of objects in R
👻 Utilities for analyzing Bayesian models and posterior distributions
📊 Computation and processing of models' parameters
🔗 Methods for Correlation Analysis
🔮 Easy access to model information for various model objects
📈 Estimate effects, contrasts and means based on statistical models
Lesson files for Practical Applications in R for Psychologists.
Helpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍
Updated
Jan 27, 2022
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Status of {easystats} packages
Updated
Nov 22, 2024
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