Estimation of the Extremal Index
Overview
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.
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
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-22
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- 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
Repository
- 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
Releases over time
8 development-tooling and community-health practices detected across 5 families in the upstream repository
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Dependencies
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.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.2.4Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.2.32023-12-02 · diff ↗
- 1.2.22023-09-10 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.2.12022-04-16 · diff ↗ ·
removed 1 export
imt_statadded 6 exports
choose_ud, dgaps, dgaps_imt, dgaps_imt_stat, dgaps_stat, kgaps_imt_stat - 1.1.1
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.0.12019-08-06 · diff ↗
- 1.0.02019-08-03
- RR 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
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