compute_randomization_metrics: Computes Randomization Metrics (explained in paper) about a...
In GreedyExperimentalDesign: Greedy Experimental Design Construction
View source: R/randomization_metrics.R
compute_randomization_metrics 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
GreedyExperimentalDesign documentation built on July 26, 2023, 5:48 p.m.
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View source: R/randomization_metrics.R
| compute_randomization_metrics | 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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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