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evmissing

1.0.2Package record

Extreme Value Analyses with Missing Data

0packages depend
4.1Kdownloads / year
90.9%test coverage
13/13flavors OK

Overview

About

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.

Changes in 1.0.2

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.1 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.2
READMEYes · 688 wordsVignettesNoNEWSYes · 100% structured · mentions 1.0.2Citation fileNoWebsiteYes · pkgdown
Help pages
22 (1 internal)includes a package overview page
Examples that run
100%18 run in a plain check
Exported functions with examples
100%
Documented parameters
80%
Return-value docs
100%
Help pages citing references
32%

Downloads

4.1K
CRAN downloads in the past year
Rank #13,122 · ~11/day · ~345/mo
Daily download trend is not available in this view yet.
31430 days
87790 days
4.1K1 year
Compare downloads with other packages →
Also on64 r2u7 autocran

Repository

1Stars
0Forks
0Open issues
0Open PRs
2Releases
271Commits
1Commit identities
bayesian-inferenceblock-maximaextreme-value-statisticsextremesgevmissing-datamissing-values
License file reads as GPL-3.0 · 271 commits · Last activity 2026-09-30 · 0% stars, 30d · Default branch at 1.1.2, ahead of CRAN 1.0.2 (checked 2026-10-21)
Responsiveness
not measured

Stars over time

2026-06-19 · 12026-07-07 · 1
PracticesBeta

9 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/paulnorthrop/evmissing on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-09-30

Coverage (1)
Coverage reporting
Reproducibility and dev environment (1)
data-raw/
Show all practicesHide 2 practices
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing evmissing adds 56 packages (33 with compiled code, 46 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bayesplot 5.0 MB.

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.

Datasets

People & History

People (2)
Author, Maintainer since 1.0.0 (2026), Copyright holder
Author, Copyright holder
Listed in earlier versions (2)
Paul J.
no longer listed · 1.0.0 to 1.0.2
Emma S.
no longer listed · 1.0.0 to 1.0.2
Releases (3)

Pick two releases to compare their code metrics.

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

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 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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for evmissing version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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