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 |
Documentation:
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