# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "bewrs" in publications use:'
type: software
license: MIT
title: 'bewrs: Bayesian Early-Warning Risk Surveillance for Healthcare Performance
  Monitoring'
version: 0.1.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.bewrs
abstract: Provides tools for Bayesian early-warning risk surveillance in healthcare
  performance monitoring. The package implements functions for posterior underperformance
  risk estimation, Dynamic Bayesian Early-Warning Risk Score computation, temporal
  and external validation, calibration assessment, decision curve analysis, decision-theoretic
  intervention optimisation, and Expected Value of Intervention analysis. The methodology
  is motivated by Bayesian hierarchical modelling, healthcare provider profiling,
  early-warning surveillance, and decision-theoretic resource allocation, including
  approaches discussed by Gelman et al. (2013), Spiegelhalter (2005) <https://doi.org/10.1136/bmj.331.7512.302>,
  Vickers and Elkin (2006) <https://doi.org/10.1177/0272989X06295361>, and Parmigiani
  and Inoue (2009).
authors:
- family-names: Khan
  given-names: Muhammad Zahir
  email: zahirstat007@gmail.com
preferred-citation:
  type: manual
  title: 'bewrs: Bayesian Early-Warning Risk Surveillance for Healthcare Performance
    Monitoring'
  authors:
  - family-names: Khan
    given-names: Muhammad Zahir
    email: zahirstat007@gmail.com
  year: '2026'
  notes: R package version 0.1.0
  url: https://github.com/mzkfs1974/bewrs
repository: https://zerish12.r-universe.dev
repository-code: https://github.com/zerish12/bewrs
commit: c9ea1b45bcc5c9337ed7f6fef182480ae1c14053
url: https://github.com/zerish12/bewrs
date-released: '2026-06-09'
contact:
- family-names: Khan
  given-names: Muhammad Zahir
  email: zahirstat007@gmail.com