SynergyLMM: Statistical Framework for in Vivo Drug Combination Studies

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, <doi:10.1371/journal.pone.0224137>). The implementation and analysis of linear mixed-effect models is based on the methods described by Pinheiro and Bates (2000, <doi:10.1007/b98882>), and Gałecki and Burzykowski (2013, <doi:10.1007/978-1-4614-3900-4>).

Package details

AuthorRafael Romero-Becerra [aut, cre] (<https://orcid.org/0000-0003-3935-2647>), Zhi Zhao [ctb], Tero Aittokallio [ctb]
MaintainerRafael Romero-Becerra <r.r.becerra@medisin.uio.no>
LicenseGPL (>= 3)
Version1.0.1
URL https://github.com/RafRomB/SynergyLMM
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SynergyLMM")

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SynergyLMM documentation built on April 4, 2025, 4:13 a.m.