magrittr, rlang (>= 0.1.2), yardstick (>= 0.0.8), utils,
broom, ggrepel, tibble, dplyr, ggplot2, tidyr, forcats, recipes
(>= 1.0.0), purrr, h2o, stats, dials, parsnip, tune, workflows,
modeltime
rmarkdown, knitr, roxygen2, healthyR.data, scales,
tidyselect, janitor, timetk, plotly, rsample, kknn, hardhat,
uwot, stringr

magrittr, rlang (>= 0.1.2), utils, broom, ggrepel, tibble,
dplyr, ggplot2, tidyr, forcats, timetk, recipes, parsnip,
rsample, purrr, h2o
rmarkdown, knitr, roxygen2, stats, tidyquant, cli, crayon,
rstudioapi, healthyR.data, scales

magrittr, rlang (>= 0.1.2), utils, broom, ggrepel, tibble,
dplyr, ggplot2, tidyr, forcats, recipes, parsnip, rsample,
purrr, h2o
rmarkdown, knitr, roxygen2, stats, tidyquant, cli, crayon,
rstudioapi, healthyR.data, scales, tidyselect, janitor, timetk

magrittr, rlang (>= 0.1.2), utils, broom, ggrepel, tibble,
dplyr, ggplot2, tidyr, forcats, recipes, rsample, purrr, h2o

magrittr, rlang (>= 0.1.2), utils, broom, ggrepel, tibble,
dplyr, ggplot2, tidyr, forcats, recipes, purrr, h2o, stats
rmarkdown, knitr, roxygen2, tidyquant, healthyR.data, scales,
tidyselect, janitor, timetk, plotly, rsample

magrittr, rlang (>= 0.1.2), yardstick (>= 0.0.8), utils,
broom, ggrepel, tibble, dplyr, ggplot2, tidyr, forcats,
recipes, purrr, h2o, stats, dials, parsnip, tune, workflows,
modeltime
rmarkdown, knitr, roxygen2, healthyR.data, scales,
tidyselect, janitor, timetk, plotly, rsample, kknn, hardhat

Provides data for functions typically used in the 'healthyR' package.

The Time Series Modeling Companion to 'healthyR'
Hospital time series data analysis workflow tools, modeling, and automations.
This library provides many useful tools to review common administrative time
series hospital data. Some of these include average length of stay, and
readmission rates. The aim is to provide a simple and consistent verb
framework that takes the guesswork out of everything.
magrittr, rlang (>= 0.1.2), tibble, timetk, modeltime,
modeltime.ensemble, modeltime.resample, dplyr, purrr, ggplot2,
tidyquant, healthyR.data, lubridate, stringr, plotly