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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 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.

Version: 0.2.0
Depends: R (≥ 3.3.0)
Imports: ETAS (≥ 0.5.1), MASS (≥ 7.3.58.2), spatstat.geom (≥ 3.2.8), stats (≥ 4.2.2), utils (≥ 4.2.2)
Suggests: testthat (≥ 3.0.0)
Published: 2024-06-09
DOI: 10.32614/CRAN.package.ETASbootstrap
Author: Renjie Peng [aut, cre], Pierre Dutilleul ORCID iD [aut], Christian Genest ORCID iD [aut]
Maintainer: Renjie Peng <renjie.peng at mail.mcgill.ca>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: ETASbootstrap results

Documentation:

Reference manual: ETASbootstrap.pdf

Downloads:

Package source: ETASbootstrap_0.2.0.tar.gz
Windows binaries: r-devel: ETASbootstrap_0.2.0.zip, r-release: ETASbootstrap_0.2.0.zip, r-oldrel: ETASbootstrap_0.2.0.zip
macOS binaries: r-release (arm64): ETASbootstrap_0.2.0.tgz, r-oldrel (arm64): ETASbootstrap_0.2.0.tgz, r-release (x86_64): ETASbootstrap_0.2.0.tgz, r-oldrel (x86_64): ETASbootstrap_0.2.0.tgz
Old sources: ETASbootstrap archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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