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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 "ExtremeCI" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'ExtremeCI: Realistic Confidence Intervals for Non-Stationary Extreme Value
  Statistics'
version: 0.2.1
doi: 10.32614/CRAN.package.ExtremeCI
abstract: This framework provides versatile algorithms to efficiently infer confidence
  intervals for extreme value statistics, such as extreme quantiles and return levels,
  that are representative of the asymmetric uncertainty spread, using extreme value
  theory extrapolation and the profile likelihood (see e.g., Coles (2001) <https://doi.org/10.1007/978-1-4471-3675-0>).
  Unlike existing algorithms, the CI endpoints are found without the need for a strict
  prespecified range, can be covariate-dependent, and can be based on weighted samples.
  This package is motivated by Zeder et al. (2023) <https://doi.org/10.1029/2023GL104090>
  and by Pasche et al. (2026) <https://doi.org/10.1007/s10687-026-00536-9>.
authors:
- family-names: Pasche
  given-names: Olivier C.
  email: olivier_pasche@alumni.epfl.ch
  orcid: https://orcid.org/0000-0002-1202-9199
repository: https://opasche.r-universe.dev
repository-code: https://github.com/opasche/ExtremeCI
commit: da8ef1edaeeb9db211ce9aa2c19b0a72ff5e58e8
url: https://opasche.github.io/ExtremeCI/
date-released: '2026-05-13'
contact:
- family-names: Pasche
  given-names: Olivier C.
  email: olivier_pasche@alumni.epfl.ch
  orcid: https://orcid.org/0000-0002-1202-9199