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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "aplime" in publications use:'
type: software
license: MIT
title: 'aplime: Adaptive Piecewise Local Model-Agnostic Explanations'
version: 0.1.0
abstract: 'Implements Adaptive Piecewise Local Interpretable Model-Agnostic Explanations
  (AP-LIME) and its second-order interaction extension (AP2-LIME) for interpreting
  predictions from machine learning models. The methods replace the conventional locally
  weighted linear surrogate in LIME with Multivariate Adaptive Regression Splines
  (MARS). AP-LIME uses additive piecewise-linear hinge functions, whereas AP2-LIME
  allows pairwise interactions between hinge functions. The package generates proximity-weighted
  local explanations, estimates feature contributions, evaluates local surrogate fit,
  and assesses explanation stability across repeated runs. Stability is measured using
  the Variables Stability Index (VSI) and Coefficients Stability Index (CSI), including
  normal-theory and percentile bootstrap confidence intervals. MARS terms with the
  same predictors, hinge directions, and interaction structure are matched independently
  of knot locations. Coefficients within matched groups are summarized by their arithmetic
  mean, while the original knot thresholds remain available for inspection. The MARS-based
  local explanation approach is discussed by Somuncuoglu and Purutcuoglu (2027, ISBN:978-1-041-34431-5),
  "Explainable AI Approaches in Biomedical Signals: A Case Study with Pima Indians
  Diabetes Dataset", in "Biomedical Data Science: A Focus on Signaling", CRC Press.'
authors:
- family-names: Somuncuoğlu
  given-names: Abdullah Nuri
  email: abdullah.somuncuoglu@metu.edu.tr
  affiliation: Department of Biomedical Engineering
- family-names: Purutçuoğlu
  given-names: Vilda
  email: vpurutcu@metu.edu.tr
  affiliation: Department of Statistics
repository: https://cran.r-universe.dev
commit: d7a9803eb7d710d2d7dbcf78f85e49cc2e476024
date-released: '2026-11-12'
contact:
- family-names: Purutçuoğlu
  given-names: Vilda
  email: vpurutcu@metu.edu.tr
  affiliation: Department of Statistics