easystats/correlation

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

Tidy data frames and expressions with statistical summaries 📜

Enhancing {ggplot2} plots with statistical analysis 📊📣

R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference

Estimated marginal means

🌌 The R easystats-project

📊 Computation and processing of models' parameters

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

Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2