R Observatory: Metrics for evmr version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

evmr

0.2.0Package record

Extreme Value Modeling for r-Largest Order Statistics

0packages depend

2.3Kdownloads / year

49.6%test coverage

13/13flavors OK

Overview

About

Maintained by Yire ShinCRAN page ↗GitHub ↗Issues ↗

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.

Changes in 0.2.0

Streamlined the example datasets. Related river flow data can be obtained from the original data providers and the accompanying publications.
Minor cleanup of the package DESCRIPTION.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("evmr", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("yire-shin/evmr")

Development version from yire-shin/evmr. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-evmr

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-evmr

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-evmr

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.7 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
WARNING12 OK, 1 WARNING2026-06-08
OK7 OK2026-03-30

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.0

READMEYes · 833 wordsVignettesNoNEWSYes · 100% structured · mentions 0.2.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 41
Examples that run: 68%26 run in a plain check · 12 never run
Exported functions with examples: 93%
Documented parameters: 83%
Return-value docs: 100%
Help pages citing references: 39%

How these are measured

Downloads

2.3K

CRAN downloads in the past year

Rank #19,134 · ~6/day · ~190/mo

Releases R versions

Daily download trend is not available in this view yet.

26430 days

67490 days

2.3K1 year

Compare downloads with other packages →

Also on67 r2u5 autocran

How downloads are counted

Repository

yire-shin/evmr ↗Account: yire-shin

0Stars

0Forks

0Open issues

0Open PRs

0Releases

License file reads as GPL-3.0 · Last activity 2026-07-05

Responsiveness

not measured

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/yire-shin/evmr on 2026-10-11.

Docs source (1)

README.Rmd

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing evmr adds 15 packages (8 with compiled code, 7.7 MB of source tarballs). Heaviest: eva 2.5 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)

R >= 4.1.0

Imports (6)

evagraphicslmomco numDeriv Rsolnpstats

LinkingTo (0)

none

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Yire Shin

Author, Maintainer since 0.1.0 (2026)

Jeong-Soo Park

Author, Thesis advisor

Releases (2)

Pick two releases to compare their code metrics.

0.2.0Latest
record
2026-07-05 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.1.0
record
2026-03-29
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-03-29
Total releases: 2 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.1.0
Bundled data: 1.0 KB / 1 file
Download size: 57 KB

Appears in task views

Probability Distributions

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("evmr")

Format

Shin, Y., & Park, J. (2026). evmr: Extreme Value Modeling for r-Largest Order Statistics (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.evmr

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for evmr version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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