An implementation of the Grammar of Graphics in R

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

dplyr: A grammar of data manipulation

R for data science: a book

Statistical Rethinking course winter 2022

Dynamic Documents for R

An R-focused pipeline toolkit for reproducibility and high-performance computing

🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone

iml: interpretable machine learning R package

Encapsulated object-oriented programming for R

Feature Extraction And Statistics for Time Series

Run predictions inside the database

An R package that makes xgboost models fully interpretable

A tidyverse compatible package for creating memes in R using the magick package.

Dataflow Programming for Machine Learning in R

Themes for base plotting system in R

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)

A framework for data stream modeling and associated data mining tasks such as clustering and classification. - R Package

This repository collects various small code snippets or short instructions on how to use or define specific mixed models, mostly with packages lme4 and glmmTMB.

My statistics github