An extensible framework to create and preprocess design matrices. Recipes consist of one or more data manipulation and analysis "steps". Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting design matrices can then be used as inputs into statistical or machine learning models.
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Summary
An extensible framework to create and preprocess design matrices. Recipes consist of one or more data manipulation and analysis "steps". Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting design matrices can then be used as inputs into statistical or machine learning models.
Last Updated
May 21, 2025 at 22:32
License
MIT
Total Downloads
884.4K
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GitHub Repository
https://github.com/tidymodels/recipesDocumentation
https://recipes.tidymodels.org/reference/index.html