An implementation of the Grammar of Graphics in R

dplyr: A grammar of data manipulation

R for data science: a book

The Composer of ggplots

Statistical Rethinking Course for Jan-Mar 2023

An R package for causal inference in time series

Easily install and load packages from the tidyverse

Tidy Messy Data

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

A functional programming toolkit for R

🌌 The R easystats-project

RStan, the R interface to Stan

renv: Project environments for R.

🎨 Visualisation toolbox for beautiful and publication-ready figures

Visualizations of distributions and uncertainty

Easily install and load the tidymodels packages

Bayesian analysis + tidy data + geoms (R package)

DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.

👻 Utilities for analyzing Bayesian models and posterior distributions

bayesplot R package for plotting Bayesian models

📊 Computation and processing of models' parameters

Analysis and Visualization of Interconnected Multilayer Networks

shinystan R package and ShinyStan GUI

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

CmdStanR: the R interface to CmdStan

BayesFactor R package for Bayesian data analysis with common statistical models.

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduc…

R package for statistical inference using partially observed Markov processes

An R package for processing and plotting of electroencephalography (EEG) data