Package: embed
Version: 0.0.1
Title: Extra Recipes for Encoding Categorical Predictors
Description: Factor predictors can be converted to one or more numeric representations using simple generalized linear models <arXiv:1611.09477> or nonlinear models <arXiv:1604.06737>. All encoding methods are supervised.
Authors@R: c(
    person("Max", "Kuhn", , "max@rstudio.com", c("aut", "cre")),
    person("RStudio", role = "cph"))
Depends: R (>= 3.1), recipes (>= 0.1.3)
Imports: rstanarm, keras, stats, dplyr, purrr, rlang, utils, broom,
        tidyr, tibble, lme4, tensorflow
Suggests: testthat, knitr, rmarkdown, covr
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
ByteCompile: true
URL: https://tidymodels.github.io/embed
BugReports: https://github.com/tidymodels/embed/issues
NeedsCompilation: no
Packaged: 2018-09-06 01:25:20 UTC; max
Author: Max Kuhn [aut, cre],
  RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>
Repository: CRAN
Date/Publication: 2018-09-14 23:12:24 UTC
