This function solves a set of delay differential equations (DDEs) that represent a target cell limited model. It takes as input the DDE model parameters and an input file containing experimental data. It plots the numerically integrated solution of the DDE and the sum of squared residuals between experimental data and model solution. It then takes upper bounds and lower bounds on some model parameters and calculates (using a local search procedure) the optimal best-fit parameters that explain the data.
Inspired by: Graphical User Interface for Solving Ordinary Differential Equations, Linear regression on log transformed data, Graphical User Interface for Solving Ordinary Differential Equations, Monte Carlo Markov Chain for inferring parameters for an Ordinary Differential Equation model
Inspired: Linear regression with statistics for multiple category data, Linear regression for multiple category data with different slopes for each, t-test and box plots for genes/compounds etc in healthy vs. disease, Graphical User Interface for Solving Ordinary Differential Equations for In-Vitro Infection
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