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 |