healthyR.ts: The Time Series Modeling Companion to 'healthyR' (original) (raw)

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.

Version: 0.3.1
Depends: R (≥ 3.3)
Imports: magrittr, rlang (≥ 0.1.2), tibble, timetk, tidyr, dplyr, purrr, ggplot2, lubridate, plotly, recipes, modeltime, cowplot, graphics, forcats, stringi, parsnip, workflowsets, hardhat
Suggests: knitr, rmarkdown, scales, rsample, healthyR.ai, stringr, forecast, tidymodels, glue, xts, zoo, TSA, tune, dials, workflows, tidyselect, glmnet, earth, smooth, kernlab
Published: 2024-10-11
DOI: 10.32614/CRAN.package.healthyR.ts
Author: Steven Sanderson ORCID iD [aut, cre, cph]
Maintainer: Steven Sanderson
BugReports: https://github.com/spsanderson/healthyR.ts/issues
License: MIT + file
URL: https://www.spsanderson.com/healthyR.ts/,https://github.com/spsanderson/healthyR.ts
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: healthyR.ts results

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