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 [aut, cre, cph] Maintainer: Steven Sanderson <spsanderson at gmail.com> BugReports: https://github.com/spsanderson/healthyR.ts/issues License: MIT + file LICENSE URL: https://www.spsanderson.com/healthyR.ts/, https://github.com/spsanderson/healthyR.ts NeedsCompilation: no Materials: README NEWS CRAN checks: healthyR.ts results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=healthyR.ts to link to this page.
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