# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "tern.gee" in publications use:' type: software license: Apache-2.0 title: 'tern.gee: Tables and Graphs for Generalized Estimating Equations (GEE) Model Fits' version: 0.1.5 doi: 10.32614/CRAN.package.tern.gee identifiers: - type: url value: https://github.com/insightsengineering/tern.gee/ abstract: Generalized estimating equations (GEE) are a popular choice for analyzing longitudinal binary outcomes. This package provides an interface for fitting GEE, currently for logistic regression, within the 'tern' framework (Zhu, Sabanés Bové et al., 2023) and tabulate results easily using 'rtables' (Becker, Waddell et al., 2023). It builds on 'geepack' (Højsgaard, Halekoh and Yan, 2006) for the actual GEE model fitting. authors: - family-names: Sabanés Bové given-names: Daniel email: daniel@rconis.com - family-names: Zhu given-names: Joe email: joe.zhu@roche.com - family-names: Rua given-names: Emily name-particle: de la email: emily.de_la_rua@contractors.roche.com repository: https://insightsengineering.r-universe.dev repository-code: https://github.com/insightsengineering/tern.gee commit: bb9d34485e8a629627098963c1cea93d62e796c6 url: https://insightsengineering.github.io/tern.gee/ date-released: '2024-08-21' contact: - family-names: Zhu given-names: Joe email: joe.zhu@roche.com