brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

🌌 The R easystats-project

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

mlr3: Machine Learning in R - next generation

🎨 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

A poor man's dependency free grammar of data manipulation

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

📈 Estimate effects, contrasts and means based on statistical models

shinystan R package and ShinyStan GUI

Google FIrebase for shiny

Dataflow Programming for Machine Learning in R

Functional Data Analysis for mlr3