Package: bayesianETAS 2.0.1

bayesianETAS: Bayesian Estimation of the Temporal and Spatio-Temporal ETAS Models for Earthquake Occurrences

The Epidemic Type Aftershock Sequence (ETAS) model is widely used for modelling and forecasting earthquake occurrences. This package implements Bayesian estimation routines for both the temporal and spatial ETAS model, allowing samples to be drawn from the full posterior distribution of the model parameters given an earthquake catalogue. The methods are described in Ross (2021) "Bayesian Estimation of the ETAS Model for Earthquake Occurrences" <doi:10.1785/0120200198>.

Authors:Gordon J. Ross [aut, cre]

bayesianETAS_2.0.1.tar.gz
bayesianETAS_2.0.1.zip(r-4.7)bayesianETAS_2.0.1.zip(r-4.6)bayesianETAS_2.0.1.zip(r-4.5)
bayesianETAS_2.0.1.tgz(r-4.6-x86_64)bayesianETAS_2.0.1.tgz(r-4.6-arm64)bayesianETAS_2.0.1.tgz(r-4.5-x86_64)bayesianETAS_2.0.1.tgz(r-4.5-arm64)
bayesianETAS_2.0.1.tar.gz(r-4.7-arm64)bayesianETAS_2.0.1.tar.gz(r-4.7-x86_64)bayesianETAS_2.0.1.tar.gz(r-4.6-arm64)bayesianETAS_2.0.1.tar.gz(r-4.6-x86_64)
bayesianETAS_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

1.86 score 3 stars 12 scripts 110 downloads 3 exports 1 dependencies

Last updated from:b0193f49a2. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK162
linux-devel-x86_64OK113
source / vignettesOK158
linux-release-arm64OK159
linux-release-x86_64OK105
macos-release-arm64OK128
macos-release-x86_64OK152
macos-oldrel-arm64OK71
macos-oldrel-x86_64OK228
windows-develOK85
windows-releaseOK121
windows-oldrelOK82
wasm-releaseOK85

Exports:estimateETASmaxLikelihoodETASsimulateETAS

Dependencies:MASS