Suggests MASS

Predictive) and ML estimation of non-parametric and parametric components of the ETAS model for earthquake description. Version 1.0.2 Date 2014-3-27 Description Estimation of the components of an ETAS model for earthquake description. Non-parametric background seismicity can be estimated through FLP (Forward Likelihood Pre-dictive), while parametric components are estimated through maximum likelihood. The two estimation steps are alternated until convergence is obtained. For each event the proba-bility of being a background event is estimated and used as a weight for decluster-ing steps. Many options to control the estimation process are present. Some descriptive func-tions for earthquakes catalogs are present; also plot, print, summary, profile methods are de-fined for main output (objects of class ``etasclass'')