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.
|Depends:||R (≥ 2.10)|
|Imports:||magrittr, rlang (≥ 0.1.2), tibble, timetk, tidyr, dplyr, purrr, ggplot2, lubridate, plotly, recipes, modeltime, cowplot, graphics, forcats, stringi, parsnip, workflowsets, earth, hardhat|
|Suggests:||knitr, rmarkdown, roxygen2, scales, rsample, healthyR.data, healthyR, stringr, forecast, tidymodels, glue, xts, zoo, TSA, tune, dials, workflows, tidyselect|
|Author:||Steven Sanderson [aut, cre], Steven Sanderson [cph]|
|Maintainer:||Steven Sanderson <spsanderson at gmail.com>|
|License:||MIT + file LICENSE|
|CRAN checks:||healthyR.ts results|
Automatic Model Tuning
Getting Started with healthyR.ts
Using Tidy FFT
|Windows binaries:||r-devel: healthyR.ts_0.1.9.zip, r-release: healthyR.ts_0.1.9.zip, r-oldrel: healthyR.ts_0.1.9.zip|
|macOS binaries:||r-release (arm64): healthyR.ts_0.1.9.tgz, r-oldrel (arm64): healthyR.ts_0.1.9.tgz, r-release (x86_64): healthyR.ts_0.1.9.tgz, r-oldrel (x86_64): healthyR.ts_0.1.9.tgz|
|Old sources:||healthyR.ts archive|
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