compute_objective_val_plus_one_min_one_enc: Returns the objective value given a design vector as well an...
In OptimalRerandExpDesigns: Optimal Rerandomization Experimental Designs

Description Usage Arguments Value Author(s)

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...

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

`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.