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evmissing

1.0.2

Extreme Value Analyses with Missing Data

0packages depend
3.3Kdownloads / year
90.9%test coverage
13/13checks pass

Overview

About
Maintained by Paul J. NorthropFirst published 2026-01-083 releasesCRAN page ↗GitHub ↗

Performs likelihood-based extreme value inferences with adjustment for the presence of missing values based on Simpson and Northrop (2026) doi:10.1002/env.70075. A Generalised Extreme Value distribution is fitted to block maxima using maximum likelihood estimation, with the location and scale parameters reflecting the numbers of non-missing raw values in each block. A Bayesian version is also provided. For the purposes of comparison, there are options to make no adjustment for missing values or to discard any block maximum for which greater than a percentage of the underlying raw values are missing. Example datasets containing missing values are provided.

Install

Health

CRAN checks
13OK
Slowest check: 3.1 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.20
90.9%
Coverage · measured lines
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 688 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
80%
Return-value docs
100%
References docs
32%

Downloads

3.3K
CRAN downloads in the past year
Rank #10,097 · ~9/day · ~279/mo
Daily download trend is not available in this view yet.
14230 days
96990 days
3.3K1 year
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Also on60 r2u14 autocran

Repository

Repository
1Stars
0Forks
0Open issues
0Open PRs
2Releases
269Commits
1Contributors
bayesian-inferenceblock-maximaextreme-value-statisticsextremesgevmissing-datamissing-values
License GPL-3.0 · 269 commits · Last activity 2026-08-03 · 0% stars, 30d

Stars over time

2026-06-19 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/paulnorthrop/evmissing on 2026-08-09.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
data-raw/
CRAN release process (1)
cran-comments.md
Docs source (1)
README.Rmd
Show all practices
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Imports (7)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (2)
Author, Maintainer, Copyright holder
Author, Copyright holder
Copyright holders (2)
Author, Maintainer, Copyright holder
Author, Copyright holder
Listed in earlier versions (2)
no longer listed · 1.0.0 to 1.0.2
no longer listed · 1.0.0 to 1.0.2
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.2Latest
    2026-02-16 · current release · diff ↗
  • 1.0.1
    2026-01-28 · diff ↗
  • 1.0.0
    2026-01-08
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-01-08
Total releases
3 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.1.0
Bundled data
44 KB / 7 files
Download size
154 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("evmissing")
Northrop, P. J., & Simpson, E. S. (2026). evmissing: Extreme Value Analyses with Missing Data (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.evmissing

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for evmissing version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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