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Last data update: 2014.03.03

R: Optimum Seeded Latin Hypercube Sample

optSeededLHS

R Documentation

Optimum Seeded Latin Hypercube Sample

Description

Augments an existing Latin Hypercube Sample, adding points to the design, while maintaining the latin properties of the design. This function then uses the columnwise pairwise (CP) algoritm to optimize the design. The original design is not necessarily maintained.

Usage

optSeededLHS(seed, m=1, maxSweeps=2, eps=.1, verbose=FALSE)

Arguments

`seed`	The number of partitions (simulations or design points)
`m`	The number of additional points to add to matrix `seed`
`maxSweeps`	The maximum number of times the CP algorithm is applied to all the columns.
`eps`	The optimal stopping criterion
`verbose`	Print informational messages

Details

Augments an existing Latin Hypercube Sample, adding points to the design, while maintaining the latin properties of the design. This function then uses the CP algoritm to optimize the design. The original design is not necessarily maintained.

Value

An n by k Latin Hypercube Sample matrix with values uniformly distributed on [0,1]

Author(s)

Rob Carnell

References

Stein, M. (1987) Large Sample Properties of Simulations Using Latin Hypercube Sampling. Technometrics. 29, 143–151.

Examples

  a <- randomLHS(4,3)
  a
  optSeededLHS(a, 2, 2, .1)