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π Opinionated, typographic-centric ggplot2 themes and theme components
πͺ Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
π¨ Visualisation toolbox for beautiful and publication-ready figures
π» Utilities for analyzing Bayesian models and posterior distributions
π Computation and processing of models' parameters
π Compute and work with indices of effect size and standardized parameters
π Estimate effects, contrasts and means based on statistical models
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
π¦ for custom file structure templates accessible in R sessions outside the ones they were created in.