compute_objective_val_plus_one_min_one_enc {OptimalRerandExpDesigns}

Returns the objective value given a design vector as well an an objective function. This is code duplication since this is implemented within Java. This is only to be run if...

Description

Returns the objective value given a design vector as well an an objective function. This is code duplication since this is implemented within Java. This is only to be run if...

Usage

compute_objective_val_plus_one_min_one_enc(
  X,
  indic_T,
  objective = "abs_sum_diff",
  inv_cov_X = NULL
)

Arguments

X

The n x p design matrix

indic_T

The n-length binary allocation vector

objective

The objective function to use. Default is abs_sum_diff.

inv_cov_X

Optional: the inverse sample variance covariance matrix. Use this argument if you will be doing many calculations since passing this in will cache this data.

Value

A vector of computed objective values.

Author(s)

Adam Kapelner