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bayesianETAS
View on CRAN: Click
here
Download and install bayesianETAS package within the R console
Install from CRAN:
install.packages("bayesianETAS")
Install from Github:
library("remotes")
install_github("cran/bayesianETAS") Install by package version:
library("remotes")
install_version("bayesianETAS", "2.0.0") Attach the package and use:
library("bayesianETAS")
Maintained by
Gordon J. Ross
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-14
Latest Update: 2017-01-17
Description:
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.
How to cite:
Gordon J. Ross (2016). bayesianETAS: Bayesian Estimation of the Temporal and Spatio-Temporal ETAS Models for Earthquake Occurrences. R package version 2.0.0, https://cran.r-project.org/web/packages/bayesianETAS. Accessed 18 Sep. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for bayesianETAS
Functions, R codes and Examples using
the bayesianETAS R package
Some associated functions: bayesianETAS . maxLikelihoodETAS . sampleETASposterior . simulateETAS . simulateNHPP .
Some associated R codes: bayesianETAS-package.R . maxLikelihoodETAS.R . sampleETASposterior.R . simulateETAS.R . simulateNHPP.R . Full bayesianETAS package functions and examples
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