🌌 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 📈 🔍
APA 7 inline strings and tables for Bayesian and structural equation models in apaquarto documents — brms, bmm, lavaan, blavaan, loo and Bayes factors.
One-call diagnostics for statistical models in Python, a port of R's easystats/performance
To associate your repository with the easystats topic, visit your repo's landing page and select "manage topics."