# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "SynergyLMM" in publications use:' type: software license: GPL-3.0-or-later title: 'SynergyLMM: Statistical Framework for in Vivo Drug Combination Studies' version: 1.0.1.9000 doi: 10.32614/CRAN.package.SynergyLMM abstract: A framework for evaluating drug combination effects in preclinical in vivo studies. 'SynergyLMM' provides functions to analyze longitudinal tumor growth experiments using linear mixed-effects models, perform time-dependent analyses of synergy and antagonism, evaluate model diagnostics and performance, and assess both post-hoc and a priori statistical power. The calculation of drug combination synergy follows the statistical framework provided by Demidenko and Miller (2019, ). The implementation and analysis of linear mixed-effect models is based on the methods described by Pinheiro and Bates (2000, ), and Gałecki and Burzykowski (2013, ). authors: - family-names: Romero-Becerra given-names: Rafael email: r.r.becerra@medisin.uio.no orcid: https://orcid.org/0000-0003-3935-2647 repository: https://rafromb.r-universe.dev repository-code: https://github.com/RafRomB/SynergyLMM commit: 5dcb96e19b95128bff16cf21f1a8787bdd84a31e url: https://github.com/RafRomB/SynergyLMM contact: - family-names: Romero-Becerra given-names: Rafael email: r.r.becerra@medisin.uio.no orcid: https://orcid.org/0000-0003-3935-2647