I have the system which is described by several ODE. The solution looks good for me. Now I need to implement the sensitivity analyses of parameters which I used in the model. Therefore, I have the following questions:
I have an output in the form of the vector(solution in time). But the sensitivity routines (such SALib) requires the output to be scalar variable $F(X)$ but not a vector. What should I do? I found in several resources that they model some "true" solution without any variance in parameters and later (when they perform the sensitivity) they compare it with "true" solution via RMSD. Is it correct way of doing that? (could you provide some references)
Parameter boundaries: how to choose the range of parameters? In the some papers the modelers do just ±5% of their values of parameters. What is the most typical way of doing this? based on the literature values and taking [min-5% ; max+5%] will be good? What if I dont have any literature values?