# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "etasFLP" in publications use:' type: software license: GPL-2.0-or-later title: 'etasFLP: Mixed FLP and ML Estimation of ETAS Space-Time Point Processes for Earthquake Description' version: 2.3.0 doi: 10.18637/jss.v076.i03 identifiers: - type: doi value: 10.32614/CRAN.package.etasFLP abstract: '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; in version 2.3.0 improved update method. Chiodi, Adelfio (2017).' authors: - family-names: Chiodi given-names: Marcello email: marcello.chiodi@unipa.it - family-names: Adelfio given-names: Giada email: giada.adelfio@unipa.it preferred-citation: type: article title: Mixed Non-Parametric and Parametric Estimation Techniques in R Package etasFLP for Earthquakes' Description authors: - family-names: Chiodi given-names: Marcello email: marcello.chiodi@unipa.it - family-names: Adelfio given-names: Giada email: giada.adelfio@unipa.it journal: Journal of Statistical Software year: '2017' volume: '76' issue: '3' doi: 10.18637/jss.v076.i03 start: '1' end: '29' repository: https://cran.r-universe.dev commit: a45d74e67fb124898da5faf71842e596ca30506e date-released: '2026-02-19' contact: - family-names: Chiodi given-names: Marcello email: marcello.chiodi@unipa.it references: - type: article title: Including covariates in a space-time point process with application to seismicity authors: - family-names: Adelfio given-names: Giada email: giada.adelfio@unipa.it - family-names: Chiodi given-names: Marcello email: marcello.chiodi@unipa.it journal: Statistical Methods and Applications year: '2020' doi: 10.1007/s10260-020-00543-5