WFMult: Master function for the cocktail algorithm, that calls the...

In optedr: Calculating Optimal and D-Augmented Designs for Single- and Multi-Factor Models

Master function for the cocktail algorithm, that calls the appropriate one given the criterion.

Description

Depending on the criterion the cocktail algorithm for the chosen criterion is called, and the necessary parameters for the functions are given from the user input.

Usage

WFMult(
  init_design,
  grad,
  criterion,
  par_int = NA,
  matB = NA,
  design_space,
  grid.length,
  join_thresh,
  delete_thresh,
  k,
  delta_weights,
  tol,
  tol2,
  max_iter,
  compound = NULL,
  kl_spec = NULL
)

Arguments

init_design	optional dataframe with the initial design for the algorithm.
grad	function of partial derivatives of the model.
criterion	character variable with the chosen optimality criterion.
par_int	numeric vector with the index of the parameters of interest (Ds-Optimality).
matB	optional matrix for L-optimality.
design_space	named list with bounds for each design variable.
grid.length	numeric value for the sensitivity search grid / LHS size.
join_thresh	numeric value for the merge heuristic.
delete_thresh	numeric value for the weight deletion threshold.
k	number of unknown parameters of the model.
delta_weights	numeric value in (0, 1), parameter of the algorithm.
tol	numeric value for convergence of the weight loop.
tol2	numeric value for the outer stop condition.
max_iter	maximum number of outer iterations.
compound	preprocessed list of compound criterion specifications (internal use).
kl_spec	preprocessed list of KL-Optimality specifications (internal use).

Value

An object of class optdes.

See Also

Other cocktail algorithms: CWFMult(), DWFMult(), DsWFMult(), IWFMult(), KLWFMult()

optedr documentation built on June 23, 2026, 5:07 p.m.