tibble, stats, ipred, dimRed (>= 0.1.0), lubridate, timeDate,
ddalpha, purrr (>= 0.2.3), rlang (>= 0.1.1), gower, RcppRoll,
tidyselect (>= 0.1.1), magrittr, Matrix, tidyr, pls
testthat, rpart, kernlab, fastICA, RANN, igraph, knitr,
rsample (>= 0.0.2), ggplot2, rmarkdown, covr

generics, gower, ipred, lubridate, magrittr, Matrix, purrr (>=
0.2.3), RcppRoll, rlang (>= 0.3.0.1), stats, tibble, tidyr,
tidyselect (>= 0.1.1), timeDate, utils, withr
covr, ddalpha, dimRed (>= 0.2.2), fastICA, ggplot2, igraph,
kernlab, knitr, NMF, pls, RANN, rmarkdown, rpart, rsample,
RSpectra, testthat

generics, glue, gower, ipred, lubridate, magrittr, Matrix,
purrr (>= 0.2.3), RcppRoll, rlang (>= 0.3.0.1), stats, tibble,
tidyr, tidyselect (>= 0.1.1), timeDate, utils, withr

generics, glue, gower, ipred, lubridate, magrittr, Matrix,
purrr (>= 0.2.3), rlang (>= 0.4.0), stats, tibble, tidyr,
tidyselect (>= 0.2.5), timeDate, utils, withr
covr, ddalpha, dimRed (>= 0.2.2), fastICA, ggplot2, igraph,
kernlab, knitr, pls, RANN, RcppRoll, rmarkdown, rpart, rsample,
RSpectra, testthat

covr, ddalpha, dimRed (>= 0.2.2), fastICA, ggplot2, igraph,
kernlab, knitr, pls, RANN, RcppRoll, rmarkdown, rpart, rsample,
RSpectra, testthat (>= 2.1.0)

c(
person("Max", "Kuhn", , "max@rstudio.com", role = c("aut", "cre")),
person("Hadley", "Wickham", , "hadley@rstudio.com", role = "aut"),
person("RStudio", role = "cph")
)
A recipe prepares your data for modeling. We provide an
extensible framework for pipeable sequences of feature engineering
steps provides preprocessing tools to be applied to data. Statistical
parameters for the steps can be estimated from an initial data set and
then applied to other data sets. The resulting processed output can
then be used as inputs for statistical or machine learning models.
ellipsis, generics (>= 0.1.0.9000), glue, gower, hardhat (>=
0.1.6.9001), ipred (>= 0.9-12), lifecycle, lubridate, magrittr,
Matrix, purrr (>= 0.2.3), rlang (>= 0.4.0), stats, tibble,
tidyr (>= 1.0.0), tidyselect (>= 1.1.0), timeDate, utils,
vctrs, withr
covr, ddalpha, dials (>= 0.0.10.9001), ggplot2, igraph,
kernlab, knitr, modeldata, parsnip (>= 0.1.7), RANN, RcppRoll,
rmarkdown, rpart, rsample, RSpectra, testthat (>= 3.0.0),
workflows, xml2