ETASbootstrap: Bootstrap Confidence Interval Estimation for 'ETAS' Model Parameters

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 the building of bootstrap confidence intervals based on empirical quantiles for the parameters of the 2-D spatial and temporal 'ETAS' model.

Version: 0.1.0
Depends: R (≥ 3.3.0)
Imports: ETAS (≥ 0.5.1), MASS (≥, stats (≥ 4.2.2), utils (≥ 4.2.2)
Suggests: testthat (≥ 3.0.0)
Published: 2023-05-17
Author: Renjie Peng [aut, cre], Pierre Dutilleul ORCID iD [aut], Christian Genest ORCID iD [aut]
Maintainer: Renjie Peng <renjie.peng at>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: ETASbootstrap results


Reference manual: ETASbootstrap.pdf


Package source: ETASbootstrap_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ETASbootstrap_0.1.0.tgz, r-oldrel (arm64): ETASbootstrap_0.1.0.tgz, r-release (x86_64): ETASbootstrap_0.1.0.tgz, r-oldrel (x86_64): ETASbootstrap_0.1.0.tgz


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