# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "newmark" in publications use:' type: software license: MIT title: 'newmark: Uncertainty Analysis in Dynamic Site and Slope Response' version: 1.1.0 abstract: 'Implements a four-stage pipeline for probabilistic seismic performance analysis of slopes and embankments. The package takes a uniform-hazard spectrum at multiple return periods as input (any source) and produces: (1) synthetic soil profile generation and fundamental period estimation from USCS classification via Ishihara''s small-strain shear-modulus model and the inhomogeneous truncated shear-beam theory of Gazetas and Dakoulas; (2) nonlinear site amplification using the Seyhan & Stewart (2014) model , with inter-period correlation via Baker & Jayaram (2008) ; (3) Monte Carlo ensemble of six empirical Newmark sliding-block displacement models (Ambraseys & Menu (1988) , Jibson (2007) , Saygili & Rathje (2008) , Bray & Travasarou (2007) , Bray & Macedo (2017) , and the Bray and Macedo shallow-crustal update) with coherent correlated draws; (4) log-log inversion to the performance-based seismic coefficient kmax at user-specified displacement targets. All outputs are ''data.table'' objects.' authors: - family-names: Verri Kozlowski given-names: Alejandro email: averri@fi.uba.ar preferred-citation: type: manual title: 'newmark: Uncertainty Analysis in Dynamic Site and Slope Response' authors: - family-names: Verri Kozlowski given-names: Alejandro email: averri@fi.uba.ar year: '2026' notes: R package version 1.1.0 url: https://github.com/averriK/newmark repository: https://cran.r-universe.dev repository-code: https://github.com/averriK/newmark commit: e140f74bec7d1e5b0496d4f0b155d3559d210dc2 url: https://averriK.github.io/newmark/ date-released: '2026-05-19' contact: - family-names: Verri Kozlowski given-names: Alejandro email: averri@fi.uba.ar