tidymodels
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tidymodels
Easily install and load the tidymodels packages
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dials
Tools for creating tuning parameter values
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parsnip
A tidy unified interface to models
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finetune
Additional Functions for Model Tuning
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stacks
Tidy model stacking
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themis
Extra recipes steps for dealing with unbalanced data
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infer
An R package for tidyverse-friendly statistical inference
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extratests
Integration and other testing for tidymodels
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rsample
Classes and functions to create and summarize resampling objects
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corrr
Explore correlations in R
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usemodels
Boilerplate Code for tidymodels
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tune
Tools for tidy parameter tuning
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.github
GitHub contributing guidelines for tidymodels packages
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TMwR
Code and content for "Tidy Modeling with R"
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textrecipes
Extra recipes for Text Processing
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embed
Extra recipes for categorical predictor embeddings
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recipes
A preprocessing engine to generate design matrices
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applicable
Quantify extrapolation of new samples given a training set
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hardhat
Construct Modeling Packages
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tidymodels.org
Source of tidymodels.org
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plsmod
Model Wrappers for Projection Methods
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rules
parsnip wrappers for rule-based models
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poissonreg
parsnip wrappers for Poisson regression
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baguette
parsnip Model Functions for Bagging
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discrim
Wrappers for discriminant analysis and naive Bayes models for use with the parsnip package
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modeldata
Data Sets Used by tidymodels Packages
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yardstick
Tidy methods for measuring model performance
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learntidymodels
Learn tidymodels with interactive learnr primers