# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "KWELA" in publications use:' type: software license: MIT title: 'KWELA: Hierarchical Adaptive ''RT-QuIC'' Classification for Complex Matrices' version: 1.0.0 doi: 10.32614/CRAN.package.KWELA abstract: 'Extends ''RT-QuIC'' (Real-Time Quaking-Induced Conversion) statistical analysis to complex environmental matrices through hierarchical adaptive classification. ''KWELA'' is named after a deity of the Fore people of Papua New Guinea, among whom Kuru, a notable human prion disease, was identified. Implements a 6-layer architecture: hard gate biological constraints, per-well adaptive scoring, separation-aware combination, Youden-optimized cutoffs, replicate consensus, and matrix instability detection. Features dual-mode operation (diagnostic/research), auto-profile selection (Standard/Sensitive/Matrix-Robust), RAF integration for artifact detection, matrix-aware baseline correction, and multiple consensus rules. Methods include energy distance (Szekely and Rizzo (2013) ), CRPS (Gneiting and Raftery (2007) ), SSMD (Zhang (2007) ), and Jensen-Shannon divergence (Lin (1991) ). This package implements methodology currently under peer review; please contact the author before publication using this approach. Development followed an iterative human-machine collaboration where all algorithmic design, statistical methodologies, and biological validation logic were conceptualized, tested, and iteratively refined by Richard A. Feiss through repeated cycles of running experimental data, evaluating analytical outputs, and selecting among candidate algorithms and approaches. AI systems (''Anthropic Claude'' and ''OpenAI GPT'') served as coding assistants and analytical sounding boards under continuous human direction. The selection of statistical methods, evaluation of biological plausibility, and all final methodology decisions were made by the human author. AI systems did not independently originate algorithms, statistical approaches, or scientific methodologies.' authors: - family-names: Feiss IV given-names: Richard A. email: feiss026@umn.edu orcid: https://orcid.org/0009-0008-0409-6042 repository: https://rfeissiv.r-universe.dev repository-code: https://github.com/RFeissIV/KWELA commit: 3837d16b92e0c494d7bce607adf5bc3c2ec3b182 url: https://github.com/RFeissIV/KWELA date-released: '2026-02-28' contact: - family-names: Feiss IV given-names: Richard A. email: feiss026@umn.edu orcid: https://orcid.org/0009-0008-0409-6042