FIM_logistic_4par

vector of design weight. Its length must be equal to the length of <code>x</code> and <code>sum(w)</code> should be 1.

vector of model parameters
$\bold{\theta} = (\theta_1, \theta_2, \theta_3, \theta_4)$.

param

The mean of the response variable is
 $$f(x, \bold{\theta}) = \frac{\theta_1}{1 + \exp(\theta_2 x + \theta_3)} + \theta_4,$$
 where $\bold{\theta} = (\theta_1, \theta_2, \theta_3, \theta_4)$.

Finding locally D-optimal, minimax D-optimal, standardized maximin D-optimal, optim-on-the-average and multiple objective optimal designs for nonlinear models. Different Fisher information matrices can also be set by user. There are also useful functions for verifying the optimality of the designs with respect to different criteria by equivalence theorem. ICA is a meta-heuristic evolutionary algorithm inspired from the socio-political process of humans. See Masoudi et al. (2016) <doi:10.1016/j.csda.2016.06.014>.

Ehsan Masoudi

FIM_logistic_4par: Fisher information matrix for the four parameter logistic model.

Description

Usage

Arguments

Value

Details

See Also