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SynergyLMM

Statistical Framework for in Vivo Drug Combination Studies

v1.1.2 · Nov 20, 2025 · GPL (>= 3)

Description

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 GaƂecki and Burzykowski (2013, <doi:10.1007/978-1-4614-3900-4>).

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Dependency Network

Dependencies Reverse dependencies magrittr rlang dplyr ggplot2 (>= 3.5.1) cowplot nlme nlmeU fBasics car MASS performance lattice marginaleffects clubSandwich SynergyLMM

Version History

new 1.1.2 Mar 9, 2026