Mixed Non-Parametric and Parametric Estimation Techniques in R Package etasFLP for Earthquakes' Description

Marcello Chiodi and Giada Adelfio

Journal of Statistical Software, 2017, vol. 076, issue i03

Abstract: etasFLP is an R package which fits an epidemic type aftershock sequence (ETAS) model to an earthquake catalog; non-parametric background seismicity can be estimated through a forward predictive likelihood approach, while parametric components of triggered seismicity are estimated through maximum likelihood; estimation steps are alternated until convergence is obtained and for each event the probability of being a background event is estimated. The package includes options which allow its wide use. Methods for plot, summary and profile are defined for the main output class object. The paper provides examples of the package's use with description of the underlying R and Fortran routines.

Date: 2017-01-11
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.jstatsoft.org/index.php/jss/article/view/v076i03/v76i03.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... etasFLP_1.4.0.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... ile/v076i03/v76i03.R

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:076:i03

DOI: 10.18637/jss.v076.i03

Access Statistics for this article

Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis

More articles in Journal of Statistical Software from Foundation for Open Access Statistics
Bibliographic data for series maintained by Christopher F. Baum ().