Creates simple to highly customized tables for a wide selection of descriptive statistics, with or without weighting the data.

Fits the space-time Epidemic Type Aftershock Sequence
    ('ETAS') model to earthquake catalogs using a stochastic 'declustering' 
    approach. The 'ETAS' model is a 'spatio-temporal' marked point process
    model and a special case of the 'Hawkes' process. The package is based 
    on a Fortran program by 'Jiancang Zhuang'
    (available at <https://bemlar.ism.ac.jp/zhuang/software.html>),
    which is modified and translated into C++ and C such that it 
    can be called from R. Parallel computing with 'OpenMP' is possible 
    on supported platforms.

The 2-D spatial and temporal Epidemic Type Aftershock Sequence ('ETAS') Model is
 widely used to 'decluster' earthquake data catalogs. Usually, the calculation of standard
 errors of the 'ETAS' model parameter estimates is based on the Hessian matrix derived from
 the log-likelihood function of the fitted model. However, when an 'ETAS' model is fitted to
 a local data set over a time period that is limited or short, the standard errors based on
 the Hessian matrix may be inaccurate. It follows that the asymptotic confidence intervals
 for parameters may not always be reliable. As an alternative, this package allows for the
 construction of bootstrap confidence intervals based on empirical quantiles for the parameters
 of the 2-D spatial and temporal 'ETAS' model. This version improves on Version 0.1.0 of the
 package by enabling the study space window (renamed 'study region') to be polygonal rather
 than merely rectangular. A Japan earthquake data catalog is used in a second example to
 illustrate this new feature.

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>.