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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.

Maintainer: Kuhn Max
Author(s): Max Kuhn [aut, cre], Hadley Wickham [aut], RStudio [cph]

License: GPL-2

Uses: dplyr, generics, glue, gower, ipred, lubridate, magrittr, Matrix, purrr, rlang, tibble, tidyr, tidyselect, timeDate, withr, fastICA, ggplot2, igraph, kernlab, pls, rpart, testthat, RANN, knitr, RcppRoll, ddalpha, rmarkdown, xml2, covr, RSpectra, dimRed, rsample, modeldata
Reverse depends: embed, textrecipes, themis, timetk
Reverse suggests: butcher, C50, hardhat, modelgrid, rsample, tfhub, workflows

Released 10 days ago.

10 previous versions



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