babsim.hospital
11.8.8Bartz & Bartz Simulation Hospital
Overview
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.
Install
Health
CRAN check results are not tracked yet.
Documentation
- Examples that run
- 95%
- Documented parameters
- 97%
- Return-value docs
- 71%
- References docs
- 0%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
6 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.4.0 released · 2024-04-24
- archivedRemoved from CRAN2024-04-20requires archived package 'SPOT'
- RR 4.3.0 released · 2023-04-21
- 11.8.82022-05-30 · diff ↗
- unarchivedReturned to CRAN2022-05-30
- archivedRemoved from CRAN2022-05-25requires archived package 'markovchain'
- RR 4.2.0 released · 2022-04-22
- 11.8.42021-11-10 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 11.8.22021-05-15 · diff ↗
- 11.7.142021-03-18 · diff ↗
- 11.7.122021-03-14 · diff ↗
- 11.5.142020-12-14
- RR 4.0.0 released · 2020-04-24
Package metadata
- Total releases
- 6
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 441 KB / 16 files
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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