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CRBHSF  

Cyber-Resilient Bayesian Healthcare Surveillance Framework
View on CRAN: Click here


Download and install CRBHSF package within the R console
Install from CRAN:
install.packages("CRBHSF")

Install from Github:
library("remotes")
install_github("cran/CRBHSF")

Install by package version:
library("remotes")
install_version("CRBHSF", "0.1.0")



Attach the package and use:
library("CRBHSF")
Maintained by
Muhammad Zahir Khan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-24
Latest Update: 2026-06-24
Description:
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>).
How to cite:
Muhammad Zahir Khan (2026). CRBHSF: Cyber-Resilient Bayesian Healthcare Surveillance Framework. R package version 0.1.0, https://cran.r-project.org/web/packages/CRBHSF. Accessed 26 Aug. 2026.
Previous versions and publish date:
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Complete documentation for CRBHSF
Functions, R codes and Examples using the CRBHSF R package
Full CRBHSF package functions and examples
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