Weighted Criteria-Based Latin Hypercube Designs (LHDs) for Prime Numbers
Weighted Criteria-Based Latin Hypercube Designs (LHDs) for Prime Numbers
For prime number of factors, F (>2), this method will generate LHDs with levels, L ranges from F to F^2. Maxpro criterion measure, Phi_p measure also provided as a measure of space-filling and also as an orthogonality measure maximum absolute correlation (MAC) value also provided.
wtLHDs_prime(levels,factors,weights,iterations)
Arguments
levels: L,ranges from F to F^2
factors: A prime number, F (>2)
weights: Weight should be given to Maxpro, Phi_p and MAC such that sum is 1. Default it is 0.2, 0.4 and 0.4
iterations: Number of iterations. By default it is 300.
Returns
This function will provide a series of weighted criteria-based LHDs along with space-filling and orthogonality measures for the generated LHDs.
Author(s)
Ashutosh Dalal, Cini Varghese, Rajender Parsad and Mohd Harun
Examples
library(CompExpDes)wtLHDs_prime(9,3,c(0.6,0,0.4))
References
McKay, M.D., Beckman, R.J. and Conover, W.J. (1979). Comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics, 21(2), 239-245.