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exdex

1.2.4Package record

Estimation of the Extremal Index

3packages depend
26.9Kdownloads / year
84.9%test coverage
13/13flavors OK

Overview

About

Performs frequentist inference for the extremal index of a stationary time series. Two types of methodology are used. One type is based on a model that relates the distribution of block maxima to the marginal distribution of series and leads to the semiparametric maxima estimators described in Northrop (2015) doi:10.1007/s10687-015-0221-5 and Berghaus and Bucher (2018) doi:10.1214/17-AOS1621. Sliding block maxima are used to increase precision of estimation. A graphical block size diagnostic is provided. The other type of methodology uses a model for the distribution of threshold inter-exceedance times (Ferro and Segers (2003) doi:10.1111/1467-9868.00401). Three versions of this type of approach are provided: the iterated weight least squares approach of Suveges (2007) doi:10.1007/s10687-007-0034-2, the K-gaps model of Suveges and Davison (2010) doi:10.1214/09-AOAS292 and a similar approach of Holesovsky and Fusek (2020) doi:10.1007/s10687-020-00374-3 that we refer to as D-gaps. For the K-gaps and D-gaps models this package allows missing values in the data, can accommodate independent subsets of data, such as monthly or seasonal time series from different years, and can incorporate information from right-censored inter-exceedance times. Graphical diagnostics for the threshold level and the respective tuning parameters K and D are provided.

Changes in 1.2.4

Bug fixes and minor improvements

  • Implements the patch described in Rcpp Issue #1406 to avoid masking of Rf_error().

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.2 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.2.4
READMEYes · 373 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.2.4Citation fileNoWebsiteYes · pkgdown
Help pages
33 (1 internal)includes a package overview page
Examples that run
94%17 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
87%
Documented parameters
87%
Return-value docs
100%
Help pages citing references
67%

Downloads

26.9K
CRAN downloads in the past year
Rank #2,832 · ~74/day · ~2.2K/mo
Daily download trend is not available in this view yet.
1.8K30 days
5.2K90 days
26.9K1 year
Compare downloads with other packages →
Also on676 r2u6 autocran106 c2d4u

Repository

0Stars
1Forks
0Open issues
0Open PRs
7Releases
650Commits
1Commit identities
extremal-indexextremesthetaextreme-value-statisticsextremevalueinferenceblock-maxima
License file reads as GPL-3.0 · 650 commits · Last activity 2026-02-14
Responsiveness
How these are sampled
PRs merged (all time)
0%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
0

Forks over time

2019-03-06 · 12026-07-07 · 1
PracticesBeta

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

Checks run against github.com/paulnorthrop/exdex 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 2026-02-14

Coverage (1)
Coverage reporting
CRAN release process (1)
cran-comments.md
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

Installing exdex adds 5 packages (3 with compiled code, 3.0 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, chandwich 110 KB.

Depends (1)
R >= 3.3.0
Imports (6)
chandwichgraphicsmethodsRcppRcppRollstats
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
3direct
3indirect
Imports 3
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (2)
Author, Maintainer since 1.0.0 (2019), Copyright holder
Author, Copyright holder
Listed in earlier versions (1)
Paul J.
no longer listed · 1.0.0 to 1.2.4
Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.4Latest
    record
    2026-01-11 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.3
    record
    2023-12-02 · diff ↗
  • 1.2.2
    record
    2023-09-10 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.2.1
    record
    2022-04-16 · diff ↗ ·
    removed 1 export
    imt_stat
    added 6 exports
    choose_ud, dgaps, dgaps_imt, dgaps_imt_stat, dgaps_stat, kgaps_imt_stat
  • 1.1.1
    record
    2022-03-25 · diff ↗ ·
    added 2 exports
    imt_stat, split_by_NAs
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.1
    record
    2019-08-06 · diff ↗
  • 1.0.0
    record
    2019-08-03
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-08-03
Total releases
7 / 7 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.3.0
Bundled data
225 KB / 6 files
Download size
328 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("exdex")
Northrop, P. J., & Christodoulides, C. (2026). exdex: Estimation of the Extremal Index (Version 1.2.4) [Computer software]. https://doi.org/10.32614/CRAN.package.exdex

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 exdex version 1.2.4 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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