Bartz & Bartz Simulation Hospital

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>.

Version: 11.8.2
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
Published: 2021-05-15
Author: Thomas Bartz-Beielstein ORCID iD [aut, cre], Frederik Rehbach ORCID iD [aut], Eva Bartz [aut], Olaf Mersmann ORCID iD [aut], Martin Zaefferer ORCID iD [ctb]
Maintainer: Thomas Bartz-Beielstein <tbb at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: file inst/COPYRIGHTS copyright details
NeedsCompilation: no
Citation: citation info
Materials: NEWS
CRAN checks: results


Reference manual:
Vignettes: Hospital Capacity Planning Using Discrete Event Simulation: Introduction
Package source: babsim.hospital_11.8.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): babsim.hospital_11.8.2.tgz, r-release (x86_64): babsim.hospital_11.8.2.tgz, r-oldrel: babsim.hospital_11.8.2.tgz
Old sources: archive

Reverse dependencies:

Reverse suggests: SPOT, SPOTMisc


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