plot.ICA

iteration. if <code>NULL</code>, is set to the last iteration.

iter

logical; if <code>TRUE</code> the best design in iteration <code>iter</code> is checked by equivalence theorem.

sensitivity

logical; if <code>TRUE</code> the result of checking by equivalence theorem will be printed.
Only applicable when <code>sensitivity = TRUE</code>.

print_equivalence


Plot method for an object of class "ICA".


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>.

plot.ICA: Plot method for an object of class "ICA".

Description

Usage

Arguments

See Also