SLHDs

This sliced LHDs are generated using a different new algorithm for a flexible parameter range which possesses a good space-filling property as whole design as well as for the slices.

Computer Experiments

Latin Hypercube Designs

CompExpDes

Space-Filling Designs

In computer experiments space-filling designs are having great impact. Most popularly used space-filling designs are Uniform designs (UDs), Latin hypercube designs (LHDs) etc. For further references one can see Mckay (1979) <DOI:10.1080/00401706.1979.10489755> and Fang (1980) <https://cir.nii.ac.jp/crid/1570291225616774784>. In this package, we have provided algorithms for generate efficient LHDs and UDs. Here, generated LHDs are efficient as they possess lower value of Maxpro measure, Phi_p value and Maximum Absolute Correlation (MAC) value based on the weightage given to each criterion. On the other hand, the produced UDs are having good space-filling property as they always attain the lower bound of Discrete Discrepancy measure. Further, some useful functions added in this package for adding more value to this package.

Ashutosh  Dalal

Designs for Computer Experimentations

Cini Varghese

Rajender Parsad

Mohd Harun

SLHDs function

<dl> <dt>slices</dt>
<dd>Number of slices(&gt;=2)</dd><dt>factors</dt>
<dd>Number of factors(&gt;=2)</dd><dt>levels</dt>
<dd>Number of levels(&gt;=3)</dd></dl>

Arguments

Ashutosh Dalal,
Cini varghese,
Rajender Parsad and Mohd Harun

Author

Sliced Latin Hypercube Designs with Equal Size of Slices — SLHDs

<dl>

 <dt>slices</dt>
<dd>Number of slices(&gt;=2)</dd>

<dt>factors</dt>
<dd>Number of factors(&gt;=2)</dd>

<dt>levels</dt>
<dd>Number of levels(&gt;=3)</dd>

</dl>

SLHDs: Sliced Latin Hypercube Designs with Equal Size of Slices

Description

Usage

Value

Arguments

Author

References

Examples