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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.
Getting started
Browse package contents
Package details |
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| Author | Gordon J. Ross |
| Maintainer | Gordon J. Ross <gordon@gordonjross.co.uk> |
| License | GPL-3 |
| Version | 1.0.3 |
| URL | http://www.gordonjross.co.uk/bayesianetas.pdf |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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