CRBHSF: Cyber-Resilient Bayesian Healthcare Surveillance Framework

Provides methods for healthcare performance surveillance using Bayesian risk estimation, latent organisational trust modelling, cyber-resilience assessment, external validation, decision-theoretic optimisation, and digital-twin deployment simulation. The package supports prospective deterioration monitoring, uncertainty-aware risk assessment, intervention prioritisation, ablation analysis, and operational evaluation for healthcare performance management and health system resilience research. The methodological framework is informed by contemporary guidance on prediction model development and validation (Efthimiou et al., 2024 <doi:10.1136/bmj-2023-078276>), transparent reporting of prediction models (Collins et al., 2024 <doi:10.1136/bmj-2023-078378>), and decision-analytic model evaluation (Vickers and Elkin, 2006 <doi:10.1177/0272989X06295361>).

Version:	0.1.0
Depends:	R (≥ 4.1.0)
Imports:	dplyr, ggplot2, pROC, purrr, tibble
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-06-24
DOI:	10.32614/CRAN.package.CRBHSF (may not be active yet)
Author:	Muhammad Zahir Khan [aut, cre], Abdul Wahid Khan [aut]
Maintainer:	Muhammad Zahir Khan <zahirstat007 at gmail.com>
BugReports:	https://github.com/zerish12/CRBHSF/issues
License:	MIT + file LICENSE
URL:	https://github.com/zerish12/CRBHSF
NeedsCompilation:	no
Citation:	CRBHSF citation info
Materials:	README, NEWS
CRAN checks:	CRBHSF results

Documentation:

Reference manual:

CRBHSF.html , CRBHSF.pdf

Downloads:

Package source:	CRBHSF_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: CRBHSF_0.1.0.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): CRBHSF_0.1.0.tgz, r-oldrel (arm64): CRBHSF_0.1.0.tgz, r-release (x86_64): CRBHSF_0.1.0.tgz, r-oldrel (x86_64): CRBHSF_0.1.0.tgz

Linking:

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