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 mixed-effects models, perform time-resolved 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>).
| Version: | 1.1.2 |
| 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: | 2025-11-20 |
| 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 |
| Citation: | SynergyLMM citation info |
| Materials: | NEWS |
| CRAN checks: | SynergyLMM results |
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