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.


Reference manual

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0.1.1 by Max Kuhn, 3 days ago

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Authors: Max Kuhn [aut, cre], Hadley Wickham [aut], RStudio [cph]

Documentation:   PDF Manual  

GPL-2 license

Imports tibble, stats, ipred, dimRed, lubridate, timeDate, ddalpha, purrr, rlang, gower, RcppRoll, tidyselect, magrittr, Matrix

Depends on dplyr, broom

Suggests testthat, rpart, kernlab, fastICA, RANN, igraph, knitr, caret, ggplot2, rmarkdown, covr

Imported by caret, rsample.

See at CRAN