Mixed FLP and ML Estimation of ETAS Space-Time Point Processes for Earthquake Description
Estimates the parameter of the Gutenberg-Richter law.
Silverman's rule optimal for the estimation of a kernel bandwidth
Compare two etasclass objects
Title daily.etasclass
Check earthquake catalog
Guess starting values of ETAS parameters (beta-version). Only from pac...
Mixed estimation of an ETAS model (renewed in version 2.0)
Internal etasFLP functions
Mixed FLP and ML Estimation of ETAS Space-Time Point Processes
A 2-d normal kernel estimator
Transformed plot of the magnitudes distribution of an earthquakes cata...
Display a pretty frequency table
Plot method for etasclass objects
plot method for profile.etasclass objects (profile likelihood of ETAS ...
Print method for etasclass objects
profile method for etasclass objects (ETAS model) (To be checked)
Computes Simpson integration rule coefficients
Summary method for etasclass objects
Date time conversion tools
timeupdate.etasclass
update.etasclass
Creates a 2-d grid
Estimation of the components of an ETAS (Epidemic Type Aftershock Sequence) model for earthquake description. Non-parametric background seismicity can be estimated through FLP (Forward Likelihood Predictive). New version 2.0.0: covariates have been introduced to explain the effects of external factors on the induced seismicity; the parametrization has been changed; Chiodi, Adelfio (2017)<doi:10.18637/jss.v076.i03>.