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  "Package": "DecisionDrift",
  "Title": "Detecting, Decomposing, and Stress-Testing Temporal Change in\nRepeated Decision Systems",
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  "Authors@R": "person(\ngiven   = \"Subir\",\nfamily  = \"Hait\",\nrole    = c(\"aut\", \"cre\"),\nemail   = \"haitsubi@msu.edu\",\ncomment = c(ORCID = \"0009-0004-9871-9677\")\n)",
  "Description": "Tools for detecting, decomposing, and stress-testing\ntemporal drift in repeated binary decision systems. Complements\nthe 'decisionpaths' package by shifting focus from path\nconstruction to system-level change over time. Implements five\ncore analytic modules: (1) prevalence drift — did the overall\ndecision rate change over time?; (2) transition drift — did the\nprobability of switching or persisting change?; (3) entropy and\nstability trends — did path complexity evolve?; (4)\ngroup-differential drift — did the system drift differently\nacross subgroups?; (5) change-point and regime-shift detection\n— did the system change abruptly after a policy or model\nupdate? Additionally provides a robustness module for testing\nstability of drift conclusions across analytic choices, and a\nsensitivity module for probing vulnerability to data problems\nincluding missingness, miscoding, and threshold shifts. Defines\nfour original drift indices: the Decision Drift Index (DDI),\nTransition Drift Index (TDI), Group Differential Drift (GDD),\nand Cumulative Drift Burden (CDB). Applications include\nalgorithmic audit, AI governance, education, health, and\norganisational research.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Language": "en-GB",
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  "URL": "https://github.com/causalfragility-lab/DecisionDrift",
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  "Repository": "https://causalfragility-lab.r-universe.dev",
  "Date/Publication": "2026-04-12 21:56:38 UTC",
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  "_created": "2026-07-16T07:06:40.000Z",
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      "title": "Run a Full DecisionDrift Audit",
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