ICAOD: FIM_logistic_2pred – R documentation

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FIM_logistic_2pred

Fisher Information Matrix for the Logistic Model with Two Predictors

Description

It provides the cpp function for FIM for the following model:
~exp(b0+ b1 * x1 + b2 * x2 + b3 * x1 * x2)/(1 + exp(b0 + b1 * x1 + b2 * x2 + b3 * x1 * x2)).

Usage

FIM_logistic_2pred(x1, x2, w, param)

Arguments

`x1`	Vector of design points (for first predictor).
`x2`	Vector of design points (for second predictor).
`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(b0, b1, b2, b3)`.

Value

Fisher information matrix.

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