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# CITATION 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 "eFCM" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'eFCM: Exponential Factor Copula Model'
version: '1.0'
doi: 10.32614/CRAN.package.eFCM
abstract: Implements the exponential Factor Copula Model (eFCM) of Castro-Camilo,
  D. and Huser, R. (2020) for spatial extremes, with tools for dependence estimation,
  tail inference, and visualization. The package supports likelihood-based inference,
  Gaussian process modeling via Matérn covariance functions, and bootstrap uncertainty
  quantification. See Castro-Camilo and Huser (2020) <https://doi.org/10.1080/01621459.2019.1647842>.
authors:
- family-names: Li
  given-names: Mengran
  email: m.li.3@research.gla.ac.uk
- family-names: Castro-Camilo
  given-names: Daniela
repository: https://cran.r-universe.dev
commit: 372b80ba5955f406da3ac7260beb60f3118ae5fd
date-released: '2025-09-09'
contact:
- family-names: Li
  given-names: Mengran
  email: m.li.3@research.gla.ac.uk