Modeling Earthquake Data Using 'ETAS' Model
Create an Earthquake Catalog
Convert date-time data to numeric data in decimal days
Internal ETAS functions
Class of Fitted ETAS Models
Fit the space-time ETAS model to data
Clustering Part of Conditional Intensity Function of the ETAS Model
Declustering Probabilities, Background Seismicity Rate and Clustering ...
Residuals Analysis and Diagnostics Plots
Retrieving data from the ISC Bulletin
Fits the space-time Epidemic Type Aftershock Sequence ('ETAS') model to earthquake catalogs using a stochastic 'declustering' approach. The 'ETAS' model is a 'spatio-temporal' marked point process model and a special case of the 'Hawkes' process. The package is based on a Fortran program by 'Jiancang Zhuang' (available at <https://bemlar.ism.ac.jp/zhuang/software.html>), which is modified and translated into C++ and C such that it can be called from R. Parallel computing with 'OpenMP' is possible on supported platforms.