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SynergyLMM (version 1.1.2)

Statistical Framework for in Vivo Drug Combination Studies

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

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install.packages('SynergyLMM')

Monthly Downloads

150

Version

1.1.2

License

GPL (>= 3)

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Maintainer

Rafael Romero-Becerra

Last Published

November 20th, 2025

Functions in SynergyLMM (1.1.2)

PwrSampleSize

A Priori Synergy Power Analysis Based on Sample Size
PwrTime

A Priori Synergy Power Analysis Based on Time
%>%

Pipe operator
plot_SynergyLMM

Plotting SynergyLMM results
plot_lmmSynergy

Plotting synergy results
plot_ranefDiagnostics

Plots for random effects diagnostics
plot_ObsvsPred

Plots of Observed vs Predicted Values
lmmModel

Linear Mixed Effect Model for Tumor Growth
lmmSynergy

Synergy calculation using linear-mixed and non-linear mixed-effect models
lmmModel_estimates

Get estimates from a linear mixed model of tumor growth data
logLikSubjectDisplacements

Likelihood displacements for the model
ranefDiagnostics

Diagnostics of random effects of the linear mixed model
plot_residDiagnostics

Plots for residuals diagnostics
plot_lmmModel

Plotting of tumor growth data from a fitted model
simulateTumorGrowth

Helper function to simulate tumor growth data for a two-drug combination experiment.
residDiagnostics

Diagnostics of residuals of the linear mixed model
Pwr

Calculates power based on a model fit
grwth_data

Example Tumor Growth Data
PostHocPwr

Post hoc power calculation based on simulations of the synergy evaluation using LMM.
Pwr.lme

Performs power calculations
APrioriPwr

A Priori Synergy Power Analysis Based on Variability and Drug Effect
ObsvsPred

Observed vs predicted values and performance of the model
CookDistance

Cook's distance for individual subjects
getRTV

Helper function to calculate the relative tumor volume from an imput data frame of tumor growth