Package: bewrs 0.1.1

Muhammad Zahir Khan

bewrs: Bayesian Early-Warning Risk Surveillance for Healthcare Performance Monitoring

Provides Bayesian early-warning surveillance methods for monitoring healthcare performance and patient safety outcomes. The package draws on risk-adjusted monitoring frameworks developed by Steiner et al. (2000) <doi:10.1093/biostatistics/1.4.441>, Spiegelhalter et al. (2003) <doi:10.1002/sim.1546>, Cook et al. (2011) <doi:10.1136/bmjqs.2008.031831>, and Neuburger et al. (2017) <doi:10.1136/bmjqs-2016-005511>. The package implements Bayesian predictive modelling, risk-adjusted monitoring, early-warning signal detection, and graphical tools for continuous quality improvement and healthcare performance assessment.

Authors:Muhammad Zahir Khan [aut, cre]

bewrs_0.1.1.tar.gz
bewrs_0.1.1.tar.gz(r-4.7-any)bewrs_0.1.1.tar.gz(r-4.6-any)
bewrs_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bewrs/json (API)

# Install 'bewrs' in R:
install.packages('bewrs', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zerish12/bewrs/issues

On CRAN:

Conda:

1.70 score 7 exports 19 dependencies

Last updated from:f7e714b725. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK118
source / vignettesOK151
linux-release-x86_64OK122
wasm-releaseOK137

Exports:compute_dynamic_bewrscompute_evioptimal_interventionplot_calibrationplot_risk_groupsrisk_stratifyvalidate_bewrs

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecyclepROCR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr