etasFLP: Mixed FLP and ML Estimation of ETAS Space-Time Point Processes

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), while parametric components are estimated through maximum likelihood. The two estimation steps are alternated until convergence is obtained. For each event the probability of being a background event is estimated and used as a weight for declustering steps. Many options to control the estimation process are present, together with some diagnostic tools. Some descriptive functions for earthquakes catalogs are present; also plot, print, summary, profile methods are defined for main output (objects of class 'etasclass').

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AuthorMarcello Chiodi [aut, cre], Giada Adelfio [aut]
Date of publication2017-01-05 12:00:53
MaintainerMarcello Chiodi <>
LicenseGPL (>= 2)

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angle.positive Man page
b.guten Man page
bwd.nrd Man page
californiacatalog Man page
cartesian2polar2D Man page
compare.etasclass Man page Man page
embedding.rect.eps Man page
eqcat Man page
etasclass Man page
etasFLP Man page
etasflp.integral Man page
etasFLP-package Man page
etas.mod2 Man page
etas.starting Man page
flp1.etas.nlm Man page
flpkspace Man page
italycatalog Man page
kde2d.integral Man page
kde2dnew.fortran Man page Man page
magn.plot Man page
MLA.freq Man page
plot.eqcat Man page
plot.etasclass Man page
plot.profile.etasclass Man page
print.etasclass Man page
profile.etasclass Man page
region.P Man page
simpson.coeff Man page
simpson.kD Man page
summary.eqcat Man page
summary.etasclass Man page
time2date Man page Man page
timecharunique2seq Man page Man page
triangle.abgamma.alpha Man page
triangle.abgamma.c Man page
triangle.alphabetac.b Man page
xy.grid Man page

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