recipes

Preprocessing Tools to Create Design Matrices

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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This version of recipes can be found in the following snapshots:

2024-03-01

Dependencies

Imports/Depends/LinkingTo/Enhances (21)
dplyr >= 1.1.0 R cli clock >= 0.6.1 ellipsis generics >= 0.1.2 glue gower hardhat >= 1.3.0 ipred >= 0.9-12 lifecycle >= 1.0.3 lubridate >= 1.8.0 magrittr purrr >= 1.0.0 rlang >= 1.1.0 tibble tidyr >= 1.0.0 tidyselect >= 1.2.0 timeDate vctrs >= 0.5.0 withr

Suggests (18)
covr ddalpha dials >= 1.2.0 ggplot2 igraph kernlab knitr modeldata >= 0.1.1 parsnip >= 1.2.0 RANN RcppRoll rmarkdown rsample RSpectra splines2 testthat >= 3.0.0 workflows xml2

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recipes

Preprocessing Tools to Create Design Matrices

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