R for data science: a book

Statistical Rethinking course winter 2022

Statistical Rethinking Course for Jan-Mar 2023

Statistical Rethinking course and book package

R Package for 2D and 3D mapping and data visualization

renv: Project environments for R.

Data quality assessment and metadata reporting for data frames and database tables

On top of spaghetti, all covered in cheese....

Visualizations of distributions and uncertainty

OpenCPU system for embedded scientific computation and reproducible research

Bayesian analysis + tidy data + geoms (R package)

Create curved text paths in ggplot2

Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output f…

Pipeable steps for feature engineering and data preprocessing to prepare for modeling

JVM-based interpreter for the R language for the statistical analysis.

Polars R bindings

iml: interpretable machine learning R package

↙️ ↘️ An R package for working with causal directed acyclic graphs (DAGs)

A DBI-compliant interface to PostgreSQL

A drop-in replacement for dplyr, powered by DuckDB for speed.

🛠️ 🌐 Thematic list of high-quality data science resources

Run predictions inside the database

🛠️ 📊 Tools for Exploring and Comparing Data Frames

A friendly package manager for R

Lisp-like-R: A clojure inspired lisp that compiles to R in R

The posterior R package

R package for analyzing other R packages via graph representations of their dependencies

reproducible benchmark of database-like ops

An R package for creating publication-ready forest plots.