Maximin-Distance (Sliced) Latin Hypercube Designs

Generate the optimal Latin Hypercube Designs (LHDs) for computer experiments with quantitative factors and the optimal Sliced Latin Hypercube Designs (SLHDs) for computer experiments with both quantitative and qualitative factors. Details of the algorithm can be found in Ba, S., Brenneman, W. A. and Myers, W. R. (2015), "Optimal Sliced Latin Hypercube Designs," Technometrics. Important function in this package is "maximinSLHD".


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Reference manual

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install.packages("SLHD")

2.1-1 by Shan Ba, 7 years ago


Browse source code at https://github.com/cran/SLHD


Authors: Shan Ba


Documentation:   PDF Manual  


Task views: Design of Experiments (DoE) & Analysis of Experimental Data


LGPL-2.1 license



See at CRAN