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ETASbootstrap

0.2.1Package record

Bootstrap Confidence Interval Estimation for 'ETAS' Model Parameters

0packages depend
2.4Kdownloads / year
75.2%test coverage
13/13flavors OK

Overview

About

The 2-D spatial and temporal Epidemic Type Aftershock Sequence ('ETAS') Model is widely used to 'decluster' earthquake data catalogs. Usually, the calculation of standard errors of the 'ETAS' model parameter estimates is based on the Hessian matrix derived from the log-likelihood function of the fitted model. However, when an 'ETAS' model is fitted to a local data set over a time period that is limited or short, the standard errors based on the Hessian matrix may be inaccurate. It follows that the asymptotic confidence intervals for parameters may not always be reliable. As an alternative, this package allows for the construction of bootstrap confidence intervals based on empirical quantiles for the parameters of the 2-D spatial and temporal 'ETAS' model. This version improves on Version 0.1.0 of the package by enabling the study space window (renamed 'study region') to be polygonal rather than merely rectangular. A Japan earthquake data catalog is used in a second example to illustrate this new feature.

Install

Health

CRAN checks
13OK
Slowest check: 5.6 min · r-release-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
8
Examples that run
67%2 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
50%

Downloads

2.4K
CRAN downloads in the past year
Rank #19,794 · ~7/day · ~201/mo
Daily download trend is not available in this view yet.
26930 days
67290 days
2.4K1 year
Compare downloads with other packages →
Also on70 r2u5 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing ETASbootstrap adds 20 packages (15 with compiled code, 20 MB of source tarballs). Heaviest: fields 3.9 MB, spam 3.1 MB, ETAS 3.0 MB.

Depends (1)
R >= 3.3.0
Imports (5)
ETASMASSspatstat.geomstatsutils
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.0 (2023)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.1Latest
    record
    2025-08-20 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.2.0
    record
    2024-06-09 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.0
    record
    2023-05-17
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-05-17
Total releases
3 / 3 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.3.0
Bundled data
301 KB / 5 files
Download size
323 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ETASbootstrap")
Peng, R., Dutilleul, P., & Genest, C. (2025). ETASbootstrap: Bootstrap Confidence Interval Estimation for 'ETAS' Model Parameters (Version 0.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.ETASbootstrap

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 ETASbootstrap version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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