tidyquant, uwot, cli, crayon, rstudioapi, tidyselect

Title: The Machine Learning and AI Modeling Companion to 'healthyR'
person("Steven","Sanderson", email = "spsanderson@gmail.com", role = c("aut","cre","cph"))
Hospital machine learning and ai data analysis workflow tools, modeling, and automations.
This library provides many useful tools to review common administrative
hospital data. Some of these include predicting length of stay, and readmits.
The aim is to provide a simple and consistent verb framework that takes the
Imports: magrittr, rlang (>= 0.1.2), tibble, ggplot2, dplyr, utils
Suggests: rmarkdown, knitr, roxygen2, stats, tidyquant, cli, crayon,
Author: Steven Sanderson [aut, cre, cph]

Imports: 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,
Suggests: rmarkdown, knitr, roxygen2, healthyR.data, scales,
tidyselect, janitor, timetk, plotly, rsample, kknn, hardhat,

Imports: magrittr, rlang (>= 0.1.2), utils, broom, ggrepel, tibble,
dplyr, ggplot2, tidyr, forcats, timetk, recipes, parsnip,

dplyr, ggplot2, tidyr, forcats, recipes, parsnip, rsample,
rstudioapi, healthyR.data, scales, tidyselect, janitor, timetk

dplyr, ggplot2, tidyr, forcats, recipes, rsample, purrr, h2o

dplyr, ggplot2, tidyr, forcats, recipes, purrr, h2o, stats
Suggests: rmarkdown, knitr, roxygen2, tidyquant, healthyR.data, scales,
tidyselect, janitor, timetk, plotly, rsample

broom, ggrepel, tibble, dplyr, ggplot2, tidyr, forcats,
recipes, purrr, h2o, stats, dials, parsnip, tune, workflows,
tidyselect, janitor, timetk, plotly, rsample, kknn, hardhat

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

Title: 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.
Suggests: knitr, rmarkdown, roxygen2, scales
Imports: magrittr, rlang (>= 0.1.2), tibble, timetk, modeltime,
modeltime.ensemble, modeltime.resample, dplyr, purrr, ggplot2,
tidyquant, healthyR.data, lubridate, stringr, plotly