c(
person(given = "Max",    family = "Kuhn",    email = "max@rstudio.com",    role = c("aut", "cre")),
person("RStudio", role = "cph"))
rstanarm, keras, stats, dplyr, purrr, rlang, utils, generics,
tidyr (>= 0.8.3), tibble, lme4, tensorflow, uwot, withr

testthat, knitr, rmarkdown, covr, ggplot2, modeldata

Predictors can be converted to one or more numeric representations using simple generalized linear models <arXiv:1611.09477> or nonlinear models <arXiv:1604.06737>. Most encoding methods are supervised.
rstanarm, keras, stats, dplyr, purrr, rlang, utils, generics,
tidyr, tibble, lme4, tensorflow, uwot, withr, rsample
testthat, knitr, rmarkdown, covr, ggplot2, modeldata, rpart,
xgboost

rstanarm, keras, stats, dplyr, purrr, rlang, utils, generics
(>= 0.1.0), tidyr, tibble, lme4, tensorflow, uwot, withr,
rsample

keras, stats, dplyr, purrr, rlang, utils, generics (>= 0.1.0),
tidyr, tibble, tensorflow, uwot, withr, rsample
rstanarm, lme4, testthat, knitr, rmarkdown, covr, ggplot2,
modeldata, rpart, xgboost

c(
person("Max", "Kuhn", , "max@rstudio.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-2402-136X")),
person("RStudio", role = "cph")
)
Predictors can be converted to one or more numeric
representations using a variety of methods. Effect encodings using
simple generalized linear models <arXiv:1611.09477> or nonlinear
models <arXiv:1604.06737> can be used.  There are also functions for
dimension reduction and other approaches.
dplyr, generics (>= 0.1.0), keras, lifecycle, purrr, rlang (>=
0.4.10), rsample, stats, tensorflow, tibble, tidyr, utils,
uwot, withr
covr, ggplot2, irlba, knitr, lme4, modeldata, rmarkdown,
rpart, rstanarm, testthat (>= 3.0.0), VBsparsePCA, xgboost

c(
person("Emil", "Hvitfeldt", , "emilhhvitfeldt@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-0679-1945")),
person("Max", "Kuhn", , "max@rstudio.com", role = c("aut"),
comment = c(ORCID = "0000-0003-2402-136X")),
person("RStudio", role = "cph")
)
glue, dplyr, generics (>= 0.1.0), keras, lifecycle, purrr,
rlang (>= 0.4.10), rsample, stats, tensorflow, tibble, tidyr,
utils, uwot, withr
Emil Hvitfeldt [aut, cre] (<https://orcid.org/0000-0002-0679-1945>),
Max Kuhn [aut] (<https://orcid.org/0000-0003-2402-136X>),
RStudio [cph]