Bootstrap Confidence Interval Estimation for 'ETAS' Model Parameters
Overview
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
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- 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
Dependencies
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.
Code & Tests
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- RR 4.6.0 released · 2026-04-24
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- RR 4.4.0 released · 2024-04-24
- 0.1.02023-05-17
- RR 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
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