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>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | CRBHSF_0.1.0.tar.gz |
585.2 KiB |
0.1.0 |
rolling linux/noble R-4.5 | CRBHSF_0.1.0.tar.gz |
585.1 KiB |
0.1.0 |
rolling source/ R- | CRBHSF_0.1.0.tar.gz |
581.0 KiB |
0.1.0 |
latest linux/jammy R-4.5 | CRBHSF_0.1.0.tar.gz |
585.2 KiB |
0.1.0 |
latest linux/noble R-4.5 | CRBHSF_0.1.0.tar.gz |
585.1 KiB |
0.1.0 |
latest source/ R- | CRBHSF_0.1.0.tar.gz |
581.0 KiB |
0.1.0 |
2026-04-23 source/ R- | CRBHSF_0.1.0.tar.gz |
0 B |