# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "BayesSurveillance" in publications use:' type: software license: GPL-3.0-only title: 'BayesSurveillance: Bayesian Surveillance Methods for Healthcare Performance Monitoring' version: 0.1.0 doi: 10.32614/CRAN.package.BayesSurveillance abstract: 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, risk-adjusted surveillance, early-warning signal rules, simulation tools, and graphical summaries. Methods are motivated by risk-adjusted monitoring and healthcare surveillance frameworks including Steiner et al. (2000) , Spiegelhalter et al. (2003) , Cook et al. (2011) , and Neuburger et al. (2017) . authors: - family-names: Khan given-names: Muhammad Zahir email: zahirstat007@gmail.com repository: https://zerish12.r-universe.dev commit: 8035269f37e07deb003e5792e3cf96b0b8a5a174 date-released: '2026-06-10' contact: - family-names: Khan given-names: Muhammad Zahir email: zahirstat007@gmail.com