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cff-version: 1.2.0
message: 'To cite package "evmr" in publications use:'
type: software
license: GPL-3.0-only
title: 'evmr: Extreme Value Modeling for r-Largest Order Statistics'
version: 0.1.0
doi: 10.32614/CRAN.package.evmr
abstract: Tools for extreme value modeling based on the r-largest order statistics
  framework. The package provides functions for parameter estimation via maximum likelihood,
  return level estimation with standard errors, profile likelihood-based confidence
  intervals, random sample generation, and entropy difference tests for selecting
  the number of order statistics r. Several r-largest order statistics models are
  implemented, including the four-parameter kappa (rK4D), generalized logistic (rGLO),
  generalized Gumbel (rGGD), logistic (rLD), and Gumbel (rGD) distributions. The rK4D
  methodology is described in Shin et al. (2022) <https://doi.org/10.1016/j.wace.2022.100533>,
  the rGLO model in Shin and Park (2024) <https://doi.org/10.1007/s00477-023-02642-7>,
  and the rGGD model in Shin and Park (2025) <https://doi.org/10.1038/s41598-024-83273-y>.
  The underlying distributions are related to the kappa distribution of Hosking (1994)
  <https://doi.org/10.1017/CBO9780511529443>, the generalized logistic distribution
  discussed by Ahmad et al. (1988) <https://doi.org/10.1016/0022-1694(88)90015-7>,
  and the generalized Gumbel distribution of Jeong et al. (2014) <https://doi.org/10.1007/s00477-014-0865-8>.
  Penalized likelihood approaches for extreme value estimation follow Martins and
  Stedinger (2000) <https://doi.org/10.1029/1999WR900330> and Coles and Dixon (1999)
  <https://doi.org/10.1023/A:1009905222644>. Selection of r is supported using methods
  discussed in Bader et al. (2017) <https://doi.org/10.1007/s11222-016-9697-3>. The
  package is intended for hydrological, climatological, and environmental extreme
  value analysis.
authors:
- family-names: Shin
  given-names: Yire
  email: shinyire87@gmail.com
  orcid: https://orcid.org/0000-0003-1297-5430
- family-names: Park
  given-names: Jeong-Soo
  email: jspark@chonnam.ac.kr
  orcid: https://orcid.org/0000-0002-8460-4869
repository: https://yire-shin.r-universe.dev
repository-code: https://github.com/yire-shin/evmr
commit: 06f64c515f7cb20e8d0e72ec849486d23ac54bc6
url: https://github.com/yire-shin/evmr
date-released: '2026-03-13'
contact:
- family-names: Shin
  given-names: Yire
  email: shinyire87@gmail.com
  orcid: https://orcid.org/0000-0003-1297-5430