m-clark

ggrepel

:round_pushpin: Repel overlapping text labels away from each other in your ggplot2 figures.

TabPFN

Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.

tennis_atp

ATP Tennis Rankings, Results, and Stats

grf

Generalized Random Forests

mlr3

mlr3: Machine Learning in R - next generation

furrr

Apply Mapping Functions in Parallel using Futures

collapse

Advanced and Fast Data Transformation in R

tsibble

Tidy Temporal Data Frames and Tools

lavaan

an R package for structural equation modeling and more

ggnewscale

Multiple Fill, Color and Other Scales in `ggplot2`

emmeans

Estimated marginal means

transformer-walkthrough

A walkthrough of transformer architecture code

mlr3book

Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.

TabularBenchmarks

fastai

R interface to fast.ai

bayes-workflow-book

Source files for the book "Bayesian Workflow Using Stan"

mlr3extralearners

Extra learners for use in mlr3.

nbm-spam

Training and evaluating NBM and SPAM for interpretable machine learning.

models-by-example

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

exploratory-data-analysis-tools

A survey of tools that make EDA more automated.

mixed-models-with-R-workshop

This is the companion slides, data, and RStudio project for a workshop on mixed models.

R-II-Programming

Basic programming with R- understanding objects, iterative methods, writing functions, code style, and more.

R-III-Modeling

Using models to understand relationships and make predictions.

R-IV-Visualization

Getting started with pretty pictures in R

LLAP-Workshop-2019

Data processing and more with R

distill-workshop

This will introduce R users to the Distill format for R Markdown, for scientific communication and building websites.

MRUG_Projects

A collection of topics and code from our MRUG meetings.

foundry

R-V-Presentation

Reproducibility and R Markdown

config-files

gitignore, css, etc.