SynergyLMM (version 1.1.2)

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

Description

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

Usage

simulateTumorGrowth(
  npg = 5,
  timepoints = c(0, 3, 5, 10),
  initial_volume = 100,
  grwrControl = 0.08,
  grwrA = 0.07,
  grwrB = 0.06,
  grwrComb = 0.04,
  sd = 0.1
)

Value

A data frame with tumor growth data in long format.

Arguments

npg

Number of samples per group.

timepoints

Vector with the time points at which the tumor volume measurements have been performed.

initial_volume

Initial volume for the tumor growth.

grwrControl

Coefficient for Control treatment group tumor growth rate.

grwrA

Coefficient for Drug A treatment group tumor growth rate.

grwrB

Coefficient for Drug B treatment group tumor growth rate.

grwrComb

Coefficient for Combination (Drug A + Drug B) treatment group tumor growth rate.

sd

Variability for the tumor growth.

Details

The function simulates the tumor growth following exponential kinetics, given by $$TV(t) = TV_0 \cdot e^{\beta_i \cdot t}$$

where \(TV_0\) is given by initial_volume, \(t\) is given by timepoints and \(\beta_i\) are the coefficients given by grwrControl, grwrA, grwrB, and grwrComb.

The variability is simulated using the sd argument to add random noise from a normal distribution \(N(1, SD)\), with \(SD\) = sd.

Examples

# This code generates the 'grwth_data' example dataset:
set.seed(123)
grwth_data <- simulateTumorGrowth(npg = 8, timepoints = seq(0,30,3), 
                                   initial_volume = 200, grwrControl = 0.08,
                                   grwrA = 0.07, grwrB = 0.065, 
                                   grwrComb = 0.04, sd = 0.2)