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CRBHSF

0.1.0

Cyber-Resilient Bayesian Healthcare Surveillance Framework

0packages depend
449downloads / year
3.6%test coverage
13/13checks pass

Overview

About
Maintained by Muhammad Zahir KhanFirst published 2026-06-241 releasesCRAN page ↗GitHub ↗

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).

Install

Health

CRAN checks
13OK
Slowest check: 55 s · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.07
3.6%
Coverage · measured lines
100%
Documentation · exports
5
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-25
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 686 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
not tracked
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

449
CRAN downloads in the past year
Rank #23,020 · ~1/day · ~37/mo
Daily download trend is not available in this view yet.
13430 days
44990 days
4491 year
Compare downloads with other packages →
Also on13 r2u5 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
1Releases
1Commits
1Contributors
cyber-resiliencedecision-supportdigital-healthdigital-twinhealth-data-science-sandboxhealthcare-analyticsr-packagebayesian-surveillance
1 commits · Last activity 2026-06-14

Releases over time

2026-06-14 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/zerish12/crbhsf on 2026-08-16.

Reproducibility and dev environment (1)
data-raw/
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • 0.1.0Latest
    2026-06-24 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-06-24
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Download size
554 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CRBHSF")
Zahir Khan, M., & Khan, A. W. (2026). CRBHSF: Cyber-Resilient Bayesian Healthcare Surveillance Framework (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.CRBHSF

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for CRBHSF version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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