Package: bayesianETAS 1.0.3

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.

Authors:Gordon J. Ross

bayesianETAS_1.0.3.tar.gz
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bayesianETAS.pdf |bayesianETAS.html
bayesianETAS/json (API)

# Install 'bayesianETAS' in R:
install.packages('bayesianETAS', repos = c('https://gordonjamesross.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.48 score 3 stars 10 scripts 216 downloads 4 exports 0 dependencies

Last updated 8 years agofrom:c62be50ef0. Checks:1 OK, 11 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-win-x86_64NOTEMar 24 2025
R-4.5-mac-x86_64NOTEMar 24 2025
R-4.5-mac-aarch64NOTEMar 24 2025
R-4.5-linux-x86_64NOTEMar 24 2025
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R-4.4-mac-x86_64NOTEMar 24 2025
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R-4.3-win-x86_64NOTEMar 24 2025
R-4.3-mac-x86_64NOTEMar 24 2025
R-4.3-mac-aarch64NOTEMar 24 2025

Exports:maxLikelihoodETASsampleETASposteriorsimulateETASsimulateNHPP

Dependencies: