compute_randomization_metrics {GreedyExperimentalDesign}

Computes Randomization Metrics (explained in paper) about a design algorithm

Description

Computes Randomization Metrics (explained in paper) about a design algorithm

Usage

compute_randomization_metrics(designs)

Arguments

designs

A matrix where each column is one design.

Value

A list of resulting data: the probability estimates for each pair in the design of randomness where estmates close to ~0.5 represent random assignment, then the entropy metric the distance metric, the maximum eigenvalue of the allocation var-cov matrix (operator norm) and the squared Frobenius norm (the sum of the squared eigenvalues)

Author(s)

Adam Kapelner