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FIM_exp_2par

Fisher Information Matrix for the 2-Parameter Exponential Model

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

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

v1.0.1
GPL (>= 2)
Authors
Ehsan Masoudi [aut, cre], Heinz Holling [aut], Weng Kee Wong [aut], Seongho Kim [ctb]
Initial release

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