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evgam

1.0.1

Generalised Additive Extreme Value Models

2packages depend
55.2Kdownloads / year
test coverage
8/13checks pass

Overview

About
Maintained by Ben YoungmanFirst published 2020-03-086 releasesCRAN page ↗

Methods for fitting various extreme value distributions with parameters of generalised additive model (GAM) form are provided. For details of distributions see Coles, S.G. (2001) doi:10.1007/978-1-4471-3675-0, GAMs see Wood, S.N. (2017) doi:10.1201/9781315370279, and the fitting approach see Wood, S.N., Pya, N. & Safken, B. (2016) doi:10.1080/01621459.2016.1180986. Details of how evgam works and various examples are given in Youngman, B.D. (2022) doi:10.18637/jss.v103.i03.

Install

Health

CRAN checks
5NOTE8OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
  • NOTE r-devel-windows-x86_64
Slowest check: 5.9 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct
Check history
  • NOTE2026-07-16
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • WARNING2026-06-08
    12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
96%
Return-value docs
100%
References docs
33%

Downloads

55.2K
CRAN downloads in the past year
Rank #2,099 · ~151/day · ~4.6K/mo
Daily download trend is not available in this view yet.
3.1K30 days
9.9K90 days
55.2K1 year
Compare downloads with other packages →
Also on570 r2u19 autocran58 c2d4u

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (2)
Rcppmgcv
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
2direct
8indirect

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.1Latest
    2025-09-23 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.0
    2022-06-28 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.4
    2020-08-26 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.2
    2020-04-19 · diff ↗
  • 0.1.1
    2020-03-15 · diff ↗
  • 0.1.0
    2020-03-08
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-03-08
Total releases
6 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
491 KB / 3 files
Download size
583 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("evgam")
Youngman, B. (2025). evgam: Generalised Additive Extreme Value Models (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.evgam

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 evgam version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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