rLHD

<code>rLHD</code> returns a random <code>n</code> by <code>k</code> Latin hypercube design matrix

Contains different algorithms and construction methods for optimal Latin hypercube designs (LHDs) with flexible sizes. Our package is comprehensive since it is capable of generating maximin distance LHDs, maximum projection LHDs, and orthogonal and nearly orthogonal LHDs. Detailed comparisons and summary of all the algorithms and construction methods in this package can be found at Hongzhi Wang, Qian Xiao and Abhyuday Mandal (2021) <doi:10.48550/arXiv.2010.09154>. This package is particularly useful in the area of Design and Analysis of Experiments (DAE). More specifically, design of computer experiments.

Hongzhi Wang

Latin Hypercube Designs (LHDs)

Qian Xiao

Abhyuday Mandal

rLHD function

<dl><dt>n</dt>
<dd>A positive integer, which stands for the number of rows (or run size).</dd>
<dt>k</dt>
<dd>A positive integer, which stands for the number of columns (or factor size).</dd></dl>

Arguments

Generate a random Latin Hypercube Design (LHD) — rLHD

<dl>

<dt>n</dt>
<dd>A positive integer, which stands for the number of rows (or run size).</dd>


<dt>k</dt>
<dd>A positive integer, which stands for the number of columns (or factor size).</dd>

</dl>

rLHD: Generate a random Latin Hypercube Design (LHD)

Description

Usage

Value

Arguments

Examples