BayesSurveillance: Bayesian Surveillance Methods for Healthcare Performance Monitoring

Provides Bayesian surveillance methods for prospective monitoring of healthcare performance, patient safety, and clinical quality indicators. The package implements beta-binomial monitoring for binary outcomes, gamma-Poisson monitoring for count outcomes, posterior predictive alert probabilities, Bayesian early-warning signal detection, risk-adjusted surveillance, simulation tools, decision-support methods, and graphical summaries. These methods support continuous performance monitoring and timely detection of adverse trends in healthcare systems. The methodology is motivated by established risk-adjusted monitoring, sequential surveillance, and healthcare quality-improvement frameworks <doi:10.1093/biostatistics/1.4.441>, <doi:10.1002/sim.1546>, <doi:10.1136/bmjqs.2008.031831>, and <doi:10.1136/bmjqs-2016-005526>.

Version:	0.0.2
Depends:	R (≥ 4.2.0)
Imports:	stats
Suggests:	testthat (≥ 3.0.0)
Published:	2026-07-11
DOI:	10.32614/CRAN.package.BayesSurveillance
Author:	Muhammad Zahir Khan [aut, cre]
Maintainer:	Muhammad Zahir Khan <zahirstat007 at gmail.com>
BugReports:	https://github.com/zerish12/BayesSurveillance/issues
License:	GPL-3
URL:	https://github.com/zerish12/BayesSurveillance
NeedsCompilation:	no
Materials:	README
CRAN checks:	BayesSurveillance results

Documentation:

Reference manual:

BayesSurveillance.html , BayesSurveillance.pdf

Downloads:

Package source:	BayesSurveillance_0.0.2.tar.gz
Windows binaries:	r-devel: BayesSurveillance_0.0.2.zip, r-release: BayesSurveillance_0.0.2.zip, r-oldrel: BayesSurveillance_0.0.2.zip
macOS binaries:	r-release (arm64): BayesSurveillance_0.0.2.tgz, r-oldrel (arm64): BayesSurveillance_0.0.2.tgz, r-release (x86_64): BayesSurveillance_0.0.2.tgz, r-oldrel (x86_64): BayesSurveillance_0.0.2.tgz

Linking:

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