ICAOD: FIM_loglin – R documentation

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FIM_loglin

Fisher Information Matrix for the Mixed Inhibition Model

It provides the cpp function for the FIM for the model ~theta0 + theta1* log(x + theta2).

FIM_loglin(x, w, param)

`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(theta0, theta1, theta2)`.

The FIM of this model does not depend on the parameter theta0.

Fisher information matrix.

Dette, H., Kiss, C., Bevanda, M., & Bretz, F. (2010). Optimal designs for the EMAX, log-linear and exponential models. Biometrika, 97(2), 513-518.

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