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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 "xaiHydro" in publications use:'
type: software
license: GPL-3.0-only
title: 'xaiHydro: Explainable AI Tools for Hydro-Climate Modelling'
version: 0.1.0
doi: 10.32614/CRAN.package.xaiHydro
abstract: 'Provides a unified workflow for applying Explainable Artificial Intelligence
  (XAI) methods to hydro-climate predictive models. Functions implement a permutation-based
  Monte Carlo SHAP estimator (Strumbelj and Kononenko (2014) <https://doi.org/10.1007/s10115-013-0679-x>;
  Lundberg and Lee (2017) <https://doi.org/10.48550/arXiv.1705.07874>), a self-contained
  locally weighted linear surrogate LIME (Ribeiro et al. (2016) <https://doi.org/10.1145/2939672.2939778>),
  and Partial Dependence Plots with Accumulated Local Effects (Friedman (2001) <https://doi.org/10.1214/aos/1013203451>;
  Apley and Zhu (2020) <https://doi.org/10.1111/rssb.12377>) with hydrology-specific
  visualisations and interpretation utilities. Supports any model object compatible
  with the ''DALEX'' explainer interface (Biecek (2018) <https://doi.org/10.18637/jss.v097.i01>),
  including random forests, gradient boosting, and neural networks trained on streamflow,
  drought indices, flood risk, or evapotranspiration data. Hydrology-standard performance
  metrics Nash-Sutcliffe Efficiency (NSE, Nash and Sutcliffe (1970) <https://doi.org/10.1016/0022-1694(70)90255-6>)
  and Kling-Gupta Efficiency (KGE, Gupta et al. (2009) <https://doi.org/10.1016/j.jhydrol.2009.08.003>)
  are computed alongside standard regression metrics. Designed to accompany the book
  chapter: Islam, S., Dheeraj, A., Ali, S., Kaushal, R. and Venkatesh, G. (2026).
  Explainable Artificial Intelligence for Hydro-Climatic Modelling: Methods, Applications,
  and Implementation Using the xaiHydro R Package. In Chandniha, S. K. et al. (Eds.),
  Hydro-Climate Analytics: Remote Sensing, AI and Geospatial Modelling. Springer.'
authors:
- family-names: Islam
  given-names: Sadikul
  email: sadikul.islamiasri@gmail.com
  orcid: https://orcid.org/0000-0003-2924-7122
- family-names: Ali
  given-names: Shakir
- family-names: Kaushal
  given-names: Rajesh
repository: https://sadikulislamiasri-hub.r-universe.dev
commit: 6241613e6f18a04212ccf3ede08024d3dae5cd72
date-released: '2026-09-09'
contact:
- family-names: Islam
  given-names: Sadikul
  email: sadikul.islamiasri@gmail.com
  orcid: https://orcid.org/0000-0003-2924-7122