resultsBinaryMatchThenRerandomizationSearch {GreedyExperimentalDesign}

Returns unique allocation vectors that are binary matched

Description

Returns unique allocation vectors that are binary matched

Usage

resultsBinaryMatchThenRerandomizationSearch(
  obj,
  num_vectors = NULL,
  compute_obj_vals = FALSE,
  form = "zero_one"
)

Arguments

obj

The binary_then_greedy_experimental_design object where the pairs are computed.

num_vectors

How many random allocation vectors you wish to return. The default is NULL indicating you want all of them.

compute_obj_vals

Should we compute all the objective values for each allocation? Default is FALSE.

form

Which form should it be in? The default is one_zero for 1/0's or pos_one_min_one for +1/-1's.

Author(s)

Adam Kapelner