etasFLP: 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

Estimation of the components of an ETAS 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. Some descriptive functions for earthquakes catalogs are present; also plot, print, summary, profile methods are defined for main output (objects of class "etasclass").

Version: 1.0.3
Depends: R (≥ 2.14.0), mapdata, rgl
Imports: fields, maps
Suggests: MASS
Published: 2014-04-15
Author: Marcello Chiodi [aut, cre], Giada Adelfio [aut]
Maintainer: Marcello Chiodi <marcello.chiodi at unipa.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: etasFLP results

Downloads:

Reference manual: etasFLP.pdf
Package source: etasFLP_1.0.3.tar.gz
Windows binaries: r-devel: etasFLP_1.0.3.zip, r-release: etasFLP_1.0.3.zip, r-oldrel: etasFLP_1.0.3.zip
OS X Snow Leopard binaries: r-release: etasFLP_1.0.3.tgz, r-oldrel: etasFLP_1.0.3.tgz
OS X Mavericks binaries: r-release: etasFLP_1.0.3.tgz
Old sources: etasFLP archive