healthyR.ts: The Time Series Modeling Companion to 'healthyR'

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: 0.1.5
Depends: R (≥ 2.10)
Imports: magrittr, rlang (≥ 0.1.2), tibble, timetk, tidyr, tidyquant, dplyr, purrr, ggplot2, lubridate, plotly, recipes, modeltime, cowplot, graphics, forcats, stringi, parsnip, workflowsets, earth
Suggests: knitr, rmarkdown, roxygen2, scales, rsample,, stringr, forecast, tidymodels, cli, crayon, glue, rstudioapi, xts, zoo, TSA, tune, dials, workflows
Published: 2021-11-10
Author: Steven Sanderson [aut, cre], Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: healthyR.ts results


Reference manual: healthyR.ts.pdf
Vignettes: Automatic Model Tuning
Getting Started with healthyR.ts
Using Tidy FFT


Package source: healthyR.ts_0.1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): healthyR.ts_0.1.5.tgz, r-release (x86_64): healthyR.ts_0.1.5.tgz, r-oldrel: healthyR.ts_0.1.5.tgz
Old sources: healthyR.ts archive

Reverse dependencies:

Reverse imports: healthyverse


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