The Machine Learning and AI Modeling Companion to 'healthyR'

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 guesswork out of everything.

Version: 0.0.13
Depends: R (≥ 3.3)
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, modeltime
Suggests: rmarkdown, knitr, roxygen2,, scales, tidyselect, janitor, timetk, plotly, rsample, kknn, hardhat, uwot, stringr
Published: 2023-04-03
DOI: 10.32614/
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: results


Reference manual:
Vignettes: Auto K-Means with
Getting Started with
Clustering with K-Means and UMAP


Package source: healthyR.ai_0.0.13.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): healthyR.ai_0.0.13.tgz, r-oldrel (arm64): healthyR.ai_0.0.13.tgz, r-release (x86_64): healthyR.ai_0.0.13.tgz, r-oldrel (x86_64): healthyR.ai_0.0.13.tgz
Old sources: archive

Reverse dependencies:

Reverse imports: healthyverse
Reverse suggests: healthyR.ts


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