Estimation of an ETAS model. Mixed FLP (Forward Likelihood Predictive) and ML estimation of non-parametric and parametric components of the ETAS model for earthquake description.

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Documentation for package ‘etasFLP’ version 1.0.2

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etasFLP-package Estimation of an ETAS model for earthquake description. ML (maximum Likelihood) and FLP (Forward Likelihood Predictive) estimation of parametric and non-parametric components.
b.guten Estimates the parameter of the Gutenberg-Richter law.
bwd.nrd Silverman's rule optimal for the estimation of a kernel bandwidth
californiacatalog Sample catalog of North California earthquakes
eqcat Check earthquake catalog
etasclass Mixed estimation of an ETAS model
etasFLP Estimation of an ETAS model for earthquake description. ML (maximum Likelihood) and FLP (Forward Likelihood Predictive) estimation of parametric and non-parametric components.
italycatalog Small sample catalog of italian earthquakes
kde2d.integral A 2-d normal kernel estimator
kde2dnew.fortran A 2-d normal kernel estimator
magn.plot Transformed plot of the magnitudes distribution of an earthquakes catalog
MLA.freq Display a pretty frequency table
plot.eqcat Check earthquake catalog
plot.etasclass Plot method for etasclass objects
plot.profile.etasclass plot method for profile.etasclass objects (profile likelihood of ETAS model)
print.etasclass Print method for etasclass objects
profile.etasclass profile method for etasclass objects (ETAS model)
simpson.coeff Computes Simpson integration rule coefficients
simpson.kD Computes Simpson integration rule coefficients
summary.eqcat Check earthquake catalog
summary.etasclass Summary method for etasclass objects
time2date Date time conversion tools
timecharunique2seq Date time conversion tools
xy.grid Creates a 2-d grid