The Time Series Modeling Companion to 'healthyR' R package healthyR.ts version 0.3.2 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. Software Depends: R (>= 4.1.0) Imports: magrittr, rlang (>= 0.1.2), tibble, timetk, tidyr, dplyr, purrr, ggplot2, lubridate, plotly, recipes, modeltime, cowplot, 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 Steven Sanderson <spsanderson@gmail.com> Comprehensive R Archive Network (CRAN) Steven Sanderson [aut, cre, cph] (ORCID: <https://orcid.org/0009-0006-7661-8247>) MIT + file LICENSE (https://CRAN.R-project.org/package=healthyR.ts/LICENSE) 2026-01-23 application/tgz https://CRAN.R-project.org/package=healthyR.ts doi:10.32614/CRAN.package.healthyR.ts