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SynergyLMM  

Statistical Framework for in Vivo Drug Combination Studies
View on CRAN: Click here


Download and install SynergyLMM package within the R console
Install from CRAN:
install.packages("SynergyLMM")

Install from Github:
library("remotes")
install_github("cran/SynergyLMM")

Install by package version:
library("remotes")
install_version("SynergyLMM", "1.1.4")



Attach the package and use:
library("SynergyLMM")
Maintained by
Rafael Romero-Becerra
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-06
Latest Update: 2025-07-29
Description:
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>).
How to cite:
Rafael Romero-Becerra (2025). SynergyLMM: Statistical Framework for in Vivo Drug Combination Studies. R package version 1.1.4, https://cran.r-project.org/web/packages/SynergyLMM. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-08-21 01:03), 1.0.0 (2025-02-06 14:30), 1.0.1 (2025-02-07 19:10), 1.1.0 (2025-07-29 16:10), 1.1.1 (2025-08-22 14:40), 1.1.2 (2025-11-20 23:20), 1.1.3 (2026-05-12 20:40)
Other packages that cited SynergyLMM R package
View SynergyLMM citation profile
Other R packages that SynergyLMM depends, imports, suggests or enhances
Complete documentation for SynergyLMM
Functions, R codes and Examples using the SynergyLMM R package
Full SynergyLMM package functions and examples
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