If you can solve the system and the parameters are identifiable from the y
component, then I would think that nls() can do it. However, beware
unidentifiablity: If x stays constant at its equilibrium value of (er...)
d1*c/(m+d1), then even knowing x won't allow you to tease out c, d1, and m; and
Dear R users,
I am working on a simple mathematical model made of two ordinary
differential equations:
dx/dt=-mx-d1(x-c)
dy/dt=mx-d2y
I would like to fit this model to my data and estimate the corresponding
parameters. The thing is I only have observed data for y, x is unknown. Is
it poss
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