compute_randomization_metrics {GreedyExperimentalDesign} | R Documentation |
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
[Package GreedyExperimentalDesign version 1.5.6.1 Index]