MaxProCriterion {LHD} | R Documentation |
Calculate the Maximum Projection Criterion
Description
MaxProCriterion
returns the maximum projection criterion of an LHD
Usage
MaxProCriterion(X)
Arguments
X |
A matrix object. In general, |
Value
If all inputs are logical, then the output will be a positive number indicating maximum projection criterion.
maximum projection criterion = \Bigg{ \frac{1}{{n \choose 2}} \sum_{i=1}^{n-1} \sum_{j=i+1}^{n} \frac{1}{\Pi_{l=1}^{k}(x_{il}-x_{jl})^2} \Bigg}^{1/k}
References
Joseph, V. R., Gul, E., and Ba, S. (2015) Maximum projection designs for computer experiments. Biometrika, 102, 371-380.
Examples
#create a toy LHD with 5 rows and 3 columns
toy=rLHD(n=5,k=3);toy
#Calculate the maximum projection criterion of toy
MaxProCriterion(X=toy)
[Package LHD version 1.3.3 Index]