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Convert statistical analysis objects from R into tidy format
R 1.5k 306
Easily install and load the tidymodels packages
R 793 70
An R package for tidyverse-friendly statistical inference
R 761 82
A tidy unified interface to models
R 626 93
Code and content for "Tidy Modeling with R"
RMarkdown 616 306
Pipeable steps for feature engineering and data preprocessing to prepare for modeling
R 598 117
Tools for tidy parameter tuning
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Tidy tools to apply filter-based supervised feature selection methods
Integration and other testing for tidymodels
Modeling Workflows
Wrappers for discriminant analysis and naive Bayes models for use with the parsnip package
Data Sets Used by tidymodels Packages
Bayesian comparisons of models using resampled statistics
Tools for post-processing class probability estimates
