R for data science: a book

Tools to make an R developer's life easier

Statistical Rethinking course and book package

Geocomputation with R: an open source book

Convert statistical analysis objects from R into tidy format

A functional programming toolkit for R

Building R packages

An R 📦 to make testing 😀

Set up commonly used 📦 components

Make working with dates in R just that little bit easier

An R package for tidyverse-friendly statistical inference

Generate static html documentation for an R package

Render bits of R code for sharing, e.g., on GitHub or StackOverflow.

Apply Mapping Functions in Parallel using Futures

A modern re-imagining of the data frame

A fresh approach to string manipulation in R

A tidy unified interface to models

Generate R package documentation from inline R comments

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

Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2

Spatiotemporal Arrays, Raster and Vector Data Cubes

Low-level API for programming with R

Tidy methods for measuring model performance

Tidy Geospatial Networks in R

rOpenSci Software Peer Review.

Tools for tidy parameter tuning

An R package to hold and facilitate interaction with natural earth map data 🌍

{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting

inlabru

Hands-On-Time-Series-Analysis-with-R