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  "Title": "Adaptive Piecewise Local Model-Agnostic Explanations",
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  "Authors@R": "c(\nperson(\"Abdullah Nuri\", \"Somuncuoğlu\",\nemail = \"abdullah.somuncuoglu@metu.edu.tr\",\nrole = c(\"aut\"),\ncomment = c(affiliation = \"Department of Biomedical Engineering, Middle East Technical University\")),\nperson(\"Vilda\", \"Purutçuoğlu\",\nemail = \"vpurutcu@metu.edu.tr\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(affiliation = \"Department of Statistics, Middle East Technical University\")))",
  "Description": "Implements Adaptive Piecewise Local Interpretable\nModel-Agnostic Explanations (AP-LIME) and its second-order\ninteraction extension (AP2-LIME) for interpreting predictions\nfrom machine learning models. The methods replace the\nconventional locally weighted linear surrogate in LIME with\nMultivariate Adaptive Regression Splines (MARS). AP-LIME uses\nadditive piecewise-linear hinge functions, whereas AP2-LIME\nallows pairwise interactions between hinge functions. The\npackage generates proximity-weighted local explanations,\nestimates feature contributions, evaluates local surrogate fit,\nand assesses explanation stability across repeated runs.\nStability is measured using the Variables Stability Index (VSI)\nand Coefficients Stability Index (CSI), including normal-theory\nand percentile bootstrap confidence intervals. MARS terms with\nthe same predictors, hinge directions, and interaction\nstructure are matched independently of knot locations.\nCoefficients within matched groups are summarized by their\narithmetic mean, while the original knot thresholds remain\navailable for inspection. The MARS-based local explanation\napproach is discussed by Somuncuoglu and Purutcuoglu (2027,\nISBN:978-1-041-34431-5), \"Explainable AI Approaches in\nBiomedical Signals: A Case Study with Pima Indians Diabetes\nDataset\", in \"Biomedical Data Science: A Focus on Signaling\",\nCRC Press.",
  "License": "MIT + file LICENSE",
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  "Packaged": {
    "Date": "2026-11-12 21:59:12 UTC",
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  "Author": "Abdullah Nuri Somuncuoğlu [aut] (affiliation: Department of\nBiomedical Engineering, Middle East Technical University),\nVilda Purutçuoğlu [aut, cre] (affiliation: Department of\nStatistics, Middle East Technical University)",
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