bayesianETAS: Bayesian Estimation of the ETAS Model for Earthquake Occurrences

The Epidemic Type Aftershock Sequence (ETAS) model is one of the best-performing methods for modeling and forecasting earthquake occurrences. This package implements Bayesian estimation routines to draw samples from the full posterior distribution of the model parameters, given an earthquake catalog. The paper on which this package is based is Gordon J. Ross - Bayesian Estimation of the ETAS Model for Earthquake Occurrences (2016), available from the below URL.

Version:	1.0.3
Depends:	R (≥ 2.15.0)
Published:	2017-01-17
DOI:	10.32614/CRAN.package.bayesianETAS
Author:	Gordon J. Ross
Maintainer:	Gordon J. Ross <gordon at gordonjross.co.uk>
License:	GPL-3
URL:	http://www.gordonjross.co.uk/bayesianetas.pdf
NeedsCompilation:	yes
In views:	Bayesian
CRAN checks:	bayesianETAS results

Documentation:

Reference manual:

bayesianETAS.pdf

Downloads:

Package source:	bayesianETAS_1.0.3.tar.gz
Windows binaries:	r-devel: bayesianETAS_1.0.3.zip, r-release: bayesianETAS_1.0.3.zip, r-oldrel: bayesianETAS_1.0.3.zip
macOS binaries:	r-release (arm64): bayesianETAS_1.0.3.tgz, r-oldrel (arm64): bayesianETAS_1.0.3.tgz, r-release (x86_64): bayesianETAS_1.0.3.tgz, r-oldrel (x86_64): bayesianETAS_1.0.3.tgz
Old sources:	bayesianETAS archive

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