{ "_id": "6a3ce9b611b455f4884bc068", "Package": "CRBHSF", "Type": "Package", "Title": "Cyber-Resilient Bayesian Healthcare Surveillance Framework", "Version": "0.1.0", "Authors@R": "c(person(given = \"Muhammad\", family = \"Zahir Khan\", email = \"zahirstat007@gmail.com\", role = c(\"aut\", \"cre\")), person(given = \"Abdul Wahid\", family = \"Khan\", email = \"B24F0570CYS128@paf-iast.edu.pk\", role = \"aut\"))", "Description": "Provides methods for cyber-resilient healthcare\nperformance surveillance using Bayesian risk estimation, latent\norganisational trust modelling, cyber-resilience assessment,\nexternal validation, decision-theoretic optimisation, and\ndigital-twin deployment simulation. The package supports\nprospective deterioration monitoring, uncertainty-aware risk\nassessment, intervention prioritisation, ablation analysis, and\noperational evaluation for healthcare performance management\nand health system resilience research. The methodological\nframework is informed by contemporary guidance on prediction\nmodel development and validation (Efthimiou et al., 2024\n), transparent reporting of\nprediction models (Collins et al., 2024\n), and decision-analytic model\nevaluation (Vickers and Elkin, 2006\n).", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "URL": "https://github.com/zerish12/CRBHSF", "BugReports": "https://github.com/zerish12/CRBHSF/issues", "Config/testthat/edition": "3", "Repository": "https://zerish12.r-universe.dev", "Date/Publication": "2026-06-14 15:54:56 UTC", "RemoteUrl": "https://github.com/zerish12/crbhsf", "RemoteRef": "HEAD", "RemoteSha": "fcf9b200583c2f2e977bcb8370a46a80057642da", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-25 08:37:10 UTC", "User": "root" }, "Author": "Muhammad Zahir Khan [aut, cre],\nAbdul Wahid Khan [aut]", "Maintainer": "Muhammad Zahir Khan ", "MD5sum": 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