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: | 0.1.0 |
| Imports: | magrittr, rlang (≥ 0.1.2), tibble, timetk, modeltime, modeltime.ensemble, modeltime.resample, dplyr, purrr, ggplot2, tidyquant, healthyR.data, lubridate, stringr, plotly |
| Suggests: | knitr, rmarkdown, roxygen2, scales |
| Published: | 2021-01-22 |
| Author: | Steven Sanderson [aut, cre], Steven Sanderson [cph] |
| Maintainer: | Steven Sanderson <spsanderson at gmail.com> |
| BugReports: | https://github.com/spsanderson/healthyR.ts/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/spsanderson/healthyR.ts |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | healthyR.ts results |
| Reference manual: | healthyR.ts.pdf |
| Vignettes: |
Getting Started with healthyR.ts |
| Package source: | healthyR.ts_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: healthyR.ts_0.1.0.zip, r-oldrel: not available |
| macOS binaries: | r-release: healthyR.ts_0.1.0.tgz, r-oldrel: healthyR.ts_0.1.0.tgz |
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