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  "Title": "Hierarchical Adaptive 'RT-QuIC' Classification for Complex\nMatrices",
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  "Authors@R": "person(\"Richard A.\", \"Feiss IV\", , \"feiss026@umn.edu\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0008-0409-6042\"))",
  "Description": "Extends 'RT-QuIC' (Real-Time Quaking-Induced Conversion)\nstatistical analysis to complex environmental matrices through\nhierarchical adaptive classification. 'KWELA' is named after a\ndeity of the Fore people of Papua New Guinea, among whom Kuru,\na notable human prion disease, was identified. Implements a\n6-layer architecture: hard gate biological constraints,\nper-well adaptive scoring, separation-aware combination,\nYouden-optimized cutoffs, replicate consensus, and matrix\ninstability detection. Features dual-mode operation\n(diagnostic/research), auto-profile selection\n(Standard/Sensitive/Matrix-Robust), RAF integration for\nartifact detection, matrix-aware baseline correction, and\nmultiple consensus rules. Methods include energy distance\n(Szekely and Rizzo (2013) <doi:10.1016/j.jspi.2013.03.018>),\nCRPS (Gneiting and Raftery (2007)\n<doi:10.1198/016214506000001437>), SSMD (Zhang (2007)\n<doi:10.1016/j.ygeno.2007.01.005>), and Jensen-Shannon\ndivergence (Lin (1991) <doi:10.1109/18.61115>). This package\nimplements methodology currently under peer review; please\ncontact the author before publication using this approach.\nDevelopment followed an iterative human-machine collaboration\nwhere all algorithmic design, statistical methodologies, and\nbiological validation logic were conceptualized, tested, and\niteratively refined by Richard A. Feiss through repeated cycles\nof running experimental data, evaluating analytical outputs,\nand selecting among candidate algorithms and approaches. AI\nsystems ('Anthropic Claude' and 'OpenAI GPT') served as coding\nassistants and analytical sounding boards under continuous\nhuman direction. The selection of statistical methods,\nevaluation of biological plausibility, and all final\nmethodology decisions were made by the human author. AI systems\ndid not independently originate algorithms, statistical\napproaches, or scientific methodologies.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/RFeissIV/KWELA",
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  "Author": "Richard A. Feiss IV [aut, cre] (ORCID:\n<https://orcid.org/0009-0008-0409-6042>)",
  "Maintainer": "Richard A. Feiss IV <feiss026@umn.edu>",
  "Repository": "https://rfeissiv.r-universe.dev",
  "Date/Publication": "2026-02-28 21:10:02 UTC",
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      "title": "KWELA: Hierarchical Adaptive 'RT-QuIC' Classification",
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        "KWELA"
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        "cohens_d"
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    {
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      "title": "Compute Instability Flags for a Treatment",
      "topics": [
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    },
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      "title": "Compute Stochastic Profile",
      "topics": [
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    {
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      "title": "Proper Scoring Rules",
      "topics": [
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        "dawid_sebastiani",
        "interval_score",
        "log_predictive_score"
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    },
    {
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        "fano_factor",
        "normalized_stochastic_index",
        "snr_vs_control",
        "ssmd"
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        "jensen_shannon"
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    },
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        "kwela_plate_normalize"
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    },
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      "title": "KWELA Summary and Diagnostics",
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        "kwela_summarize"
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    },
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