The mean of response variable is $$f(x; a, b, s) = \frac{1}{(1 + \exp(-b (x - a)))^s},$$
FIM_power_logistic(x, w, param, s)vector of design points.
vector of design weight. Its length must be equal to the length of x and sum(w) should be 1.
vector of model parameters \((a, b)\).
power parameter.
Fisher information matrix.
There is no analytical solution for the locally D-optimal design. Parameter \(s\) must be
passed by ... in most of the functions like mica.
Other FIM: FIM_comp_inhibition,
FIM_emax_3par, FIM_exp_2par,
FIM_exp_3par,
FIM_logisitic_1par,
FIM_logistic_4par,
FIM_logistic, FIM_loglin,
FIM_michaelis,
FIM_mixed_inhibition,
FIM_noncomp_inhibition,
FIM_uncomp_inhibition