I am currently working on fitting data to this pharmacokinetics model (also called "one compartment first order absorption model"):
$y(T) = \frac{Q K_a K_e \left(e^{-K_e T} - e^{-K_a T}\right) }{K_a - K_e}$,
where $T$ is time, $K_a$, $K_e$, and $Q$ are all parameters (constants); $y(T)$ is always positive.
I was wondering if it would be possible to re-parametrise this equation above such that the following conditions are met:
$0 < K_a$
$0 < K_e < 1$
$0 < Q$
$0 < Q K_e < 1$
Thanks!
Your model being $$y(T) = \frac{Q K_a K_e \left(e^{-K_e T} - e^{-K_a T}\right) }{K_a - K_e}$$ you could rewrite it as $$y(T) = \frac{A K_a \left(e^{-K_e T} - e^{-K_a T}\right) }{K_a - K_e}\qquad \text{where} \qquad A=Q K_e$$
Now, to take into account the constraints, let $K_a=e^B$, $K_e=\frac 1 {1+e^C}$ and $A=\frac 1 {1+e^D}$.
For sure, this introduces a lot of nonlinearities.