Package: evmr
Type: Package
Title: Extreme Value Modeling for r-Largest Order Statistics
Version: 0.2.0
Authors@R: c(
      person(given = "Yire",
             family = "Shin",
             role = c("aut", "cre"),
             email = "shinyire87@gmail.com",
             comment = c(ORCID = "0000-0003-1297-5430")),
      person(given = "Jeong-Soo",
             family = "Park",
             role = c("aut", "ths"),
             email = "jspark@chonnam.ac.kr",
             comment = c(ORCID = "0000-0002-8460-4869")))
Description: 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) <doi:10.1016/j.wace.2022.100533>, the rGLO model
        in Shin and Park (2024) <doi:10.1007/s00477-023-02642-7>, and
        the rGGD model in Shin and Park (2025)
        <doi:10.1038/s41598-024-83273-y>. The underlying distributions
        are related to the kappa distribution of Hosking (1994)
        <doi:10.1017/CBO9780511529443>, the generalized logistic
        distribution discussed by Ahmad et al. (1988)
        <doi:10.1016/0022-1694(88)90015-7>, and the generalized Gumbel
        distribution of Jeong et al. (2014)
        <doi:10.1007/s00477-014-0865-8>. Penalized likelihood
        approaches for extreme value estimation follow Martins and
        Stedinger (2000) <doi:10.1029/1999WR900330> and Coles and Dixon
        (1999) <doi:10.1023/A:1009905222644>. Selection of r is
        supported using methods discussed in Bader et al. (2017)
        <doi:10.1007/s11222-016-9697-3>. The package is intended for
        hydrological, climatological, and environmental extreme value
        analysis.
License: GPL-3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Imports: eva, graphics, lmomco, numDeriv, Rsolnp, stats
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
LazyData: true
URL: https://github.com/yire-shin/evmr
BugReports: https://github.com/yire-shin/evmr/issues
Repository: https://yire-shin.r-universe.dev
Date/Publication: 2026-07-05 10:32:17 UTC
RemoteUrl: https://github.com/yire-shin/evmr
RemoteRef: HEAD
RemoteSha: 346422cf5835af386001a11fe57c4200cb81c6ab
NeedsCompilation: no
Packaged: 2026-10-20 10:06:24 UTC; root
Author: Yire Shin [aut, cre] (ORCID: <https://orcid.org/0000-0003-1297-5430>),
  Jeong-Soo Park [aut, ths] (ORCID:
    <https://orcid.org/0000-0002-8460-4869>)
Maintainer: Yire Shin <shinyire87@gmail.com>