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 GaÅecki and Burzykowski (2013, <doi:10.1007/978-1-4614-3900-4>).
Version: 1.0.1 Depends: R (≥ 4.0) Imports: magrittr (≥ 2.0.3), rlang, dplyr (≥ 1.1.4), ggplot2 (≥ 3.5.1), cowplot (≥ 1.1.3), nlme (≥ 3.1-165), nlmeU, fBasics, car, MASS, performance, lattice, marginaleffects, clubSandwich Suggests: lme4, knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2025-02-07 DOI: 10.32614/CRAN.package.SynergyLMM Author: Rafael Romero-Becerra [aut, cre], Zhi Zhao [ctb], Tero Aittokallio [ctb] Maintainer: Rafael Romero-Becerra <r.r.becerra at medisin.uio.no> BugReports: https://github.com/RafRomB/SynergyLMM/issues License: GPL (≥ 3) URL: https://github.com/RafRomB/SynergyLMM NeedsCompilation: no Materials: NEWS CRAN checks: SynergyLMM results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=SynergyLMM to link to this page.
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