Software by Max Kuhn
ggplot2
An implementation of the Grammar of Graphics in R
usethis
Set up commonly used 📦 components
aml-training
The most recent version of the Applied Machine Learning notes
applicable
Quantify extrapolation of new samples given a training set
bonsai
parsnip wrappers for tree-based models
broom
Convert statistical analysis objects from R into tidy format
brulee
High-Level Modeling Functions with 'torch'
butcher
Reduce the size of model objects saved to disk
censored
Parsnip wrappers for survival models
cheatsheets
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/
corrr
Explore correlations in R
dials
Tools for creating tuning parameter values
discrim
Wrappers for discriminant analysis and naive Bayes models for use with the parsnip package
embed
Extra recipes for predictor embeddings
finetune
Additional functions for model tuning
generics
Common generic methods
hardhat
Construct Modeling Packages
hex-stickers
RStudio hex stickers
infer
An R package for tidyverse-friendly statistical inference
keras3
R Interface to Keras
learntidymodels
Learn tidymodels with interactive learnr primers
model-implementation-principles
recommendations for creating R modeling packages
modeldb
Run models inside a database using R
multilevelmod
Parsnip wrappers for mixed-level and hierarchical models
parsnip
A tidy unified interface to models
planning
Documents to plan and discuss future development
probably
Tools for post-processing class probability estimates
ragnar
RAG in R
recipes
Pipeable steps for feature engineering and data preprocessing to prepare for modeling
rlang
Low-level API for programming with R
rsample
Classes and functions to create and summarize resampling objects
rstudio-conf
Materials for rstudio::conf
rules
parsnip extension for rule-based models
scales
Tools for ggplot2 scales
sessioninfo
Print Session Information
shinymodels
stacks
An R package for tidy stacked ensemble modeling
testthat
An R 📦 to make testing 😀
textrecipes
Extra recipes for Text Processing
themis
Extra recipes steps for dealing with unbalanced data
tibble
A modern re-imagining of the data frame
tidyclust
A tidy unified interface to clustering models
tidymodels
Easily install and load the tidymodels packages
tidyposterior
Bayesian comparisons of models using resampled statistics
tidypredict
Run predictions inside the database
tidyverse
Easily install and load packages from the tidyverse
tidyverse.org
Source of tidyverse.org
TMwR
Code and content for "Tidy Modeling with R"
tune
Tools for tidy parameter tuning
usemodels
Boilerplate Code for tidymodels
webinars
Code and slides for RStudio webinars
workflows
Modeling Workflows
workflowsets
Create a collection of modeling workflows
workshops
Website and materials for tidymodels workshops
yardstick
Tidy methods for measuring model performance