CRAN/E | babsim.hospital

babsim.hospital

Bartz & Bartz Simulation Hospital

Installation

About

Implements a discrete-event simulation model for a hospital resource planning problem. The project is motivated by the challenges faced by health care institutions in the current COVID-19 pandemic. It can be used by health departments to forecast demand for intensive care beds, ventilators, and staff resources. Our modelling approach is inspired by "A novel modelling technique to predict resource requirements in critical care - a case study" (Lawton and McCooe 2019) and combines two powerful technologies: (i) discrete event simulation using the 'simmer' package and (ii) model-based optimization using 'SPOT'. Ucar I, Smeets B, Azcorra A (2019) doi:10.18637/jss.v090.i02. Bartz-Beielstein T, Lasarczyk C W G, Preuss M (2005) doi:10.1109/CEC.2005.1554761. Lawton T, McCooe M (2019) doi:10.7861/futurehosp.6-1-17.

Citation babsim.hospital citation info
www.th-koeln.de/babsimhospital
Copyright file inst/COPYRIGHTS babsim.hospital copyright details

Key Metrics

Version 11.8.8
R ≥ 4.0.0
Published 2022-05-30 668 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks babsim.hospital results

Downloads

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Maintainer

Maintainer

Thomas Bartz-Beielstein

tbb@bartzundbartz.de

Authors

Thomas Bartz-Beielstein

aut / cre

Frederik Rehbach

aut

Eva Bartz

aut

Olaf Mersmann

aut

Martin Zaefferer

ctb

Material

NEWS
Reference manual
Package source

Vignettes

Hospital Capacity Planning Using Discrete Event Simulation: Introduction

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

babsim.hospital archive

Depends

R ≥ 4.0.0

Imports

SPOT
checkmate
curl
data.table
dplyr
ggplot2
golem
igraph
lubridate
markovchain
methods
padr
parallel
rvest
scales
simmer
slider
testthat
plyr
xml2

Suggests

batchtools
knitr
rmarkdown
rpart
rpart.plot
simmer.plot
stringr
tidyverse
usethis
vctrs