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, ). The implementation and analysis of linear mixed-effect models is based on the methods described by Pinheiro and Bates (2000, ), and GaƂecki and Burzykowski (2013, ).


Reference manual

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install.packages("SynergyLMM")

1.1.4 by Rafael Romero-Becerra, a month ago


https://github.com/RafRomB/SynergyLMM


Report a bug at https://github.com/RafRomB/SynergyLMM/issues


Browse source code at https://github.com/cran/SynergyLMM


Authors: Rafael Romero-Becerra [aut, cre] (ORCID: , Zhi Zhao [ctb] , Tero Aittokallio [ctb]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports magrittr, rlang, dplyr, ggplot2, cowplot, nlme, nlmeU, fBasics, car, MASS, performance, lattice, marginaleffects, clubSandwich

Suggests lme4, knitr, rmarkdown, testthat


See at CRAN