Optimize: Set the optimization process.

Description

Set the optimization process.

Optimization with the Fedorov-Wynn algorithm.

Optimization with the Multiplicative Algorithm.

Optimization with the PGBO Algorithm.

Design optimization withe the Simplex algorithm.

Usage

Optimize(
  object,
  pfimProject,
  designs,
  statistical_model,
  cond_init,
  constraint,
  typeFim
)
# S4 method for FedorovWynnAlgorithm
Optimize(object, statistical_model, cond_init, constraint, typeFim)
# S4 method for MultiplicativeAlgorithm
Optimize(object, statistical_model, cond_init, constraint, typeFim)
# S4 method for PGBOAlgorithm
Optimize(object, pfimProject, designs, statistical_model, constraint, typeFim)
# S4 method for SimplexAlgorithm
Optimize(object, designs, statistical_model, constraint, typeFim)

Value

A design object giving the optimal design.

The FedorovWynnAlgorithm object with:

{OptimalDesign}:The optimal Design.
{optimalDoses}:A vector giving the optimal doses.
{FisherMatrix}:A matrix giving The Fisher Information Matrix.
{optimalFrequencies}:A vector of the optimal frequencies.
{optimalSamplingTimes}:A list of vectors of the optimal sampling times.

The MultiplicativeAlgorithm object with:

{OptimalDesign}:A Design object giving the optimal design.
{FinalWeights}:A list of the optimal weights.
{iteration_final }:A numeric of the final iteration of the process.
{allArms}:A list of all the arms in the optimal design.

The PGBOAlgorithm object with:

{resultsOptimization}:A dataframe giving the results for each iteration.
{OptimalDesign}:A Design object giving the optimal design.
{iteration_fin }:A numeric of the final iteration of the process.

A Design object giving the optimal design.

Arguments

object: An Optimize object.
pfimProject: A PFIMProject object.
designs: A Design object.
statistical_model: A StatisticalModel object.
cond_init: : A list of numeric giving the values of the initial conditions.
constraint: A Constraint object.
typeFim: A FIM object.