I have a nonlinear model where I want to include random coefficients for a
sample of random SUBJECTS. The fixed effects part of the model is Y ~ B + (T -
B) / (1 + 10**(X - C)) and I would like to include random coefficients b for B,
t for T, and c for C. The model is a fairly well-known three-parameter
log-inhibitor model where Y is a measure of growth at X = log(CONCENTRATION), B
is the unknown lower asymptote, T is the unknown upper asymptote, and C is the
unknown log(IC50), where IC50 is the half maximal inhibitory concentration. I
do not know how to solve this problem in R, where I am assuming NLME contains
the appropriate methodology.
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