FIM_exp_2par: Fisher Information Matrix for the 2-Parameter Exponential...

In ICAOD: Optimal Designs for Nonlinear Statistical Models by Imperialist Competitive Algorithm (ICA)

Description

It provides the cpp function for FIM for the model ~a + exp(-b*x).

Usage

FIM_exp_2par(x, w, param)

Arguments

x	Vector of design points.
w	Vector of design weight. Its length must be equal to the length of x and sum(w) = 1.
param	Vector of values for the model parameters c(a, b).

Details

The FIM does not depend on the value of a.

Value

Fisher information matrix.

References

Dette, H., & Neugebauer, H. M. (1997). Bayesian D-optimal designs for exponential regression models. Journal of Statistical Planning and Inference, 60(2), 331-349.

Examples

FIM_exp_2par(x = c(1, 2), w = c(.5, .5), param = c(3, 4))

ICAOD documentation built on Oct. 23, 2020, 6:40 p.m.