R: phiP criterion

phiP {DiceDesign} | R Documentation

## phiP criterion

### Description

Compute the φ_p criterion (strongly linked to mindist criterion)

### Usage

    phiP(design, p=50)

### Arguments

`design` | a matrix (or a data.frame) corresponding to the design of experiments.
`p` | the "p" in the Lp norm which is taken

### Details

The φ_p criterion is defined by the L_p norm of the sum of the inverses of the design inter-point euclidean distances:

A higher value corresponds to a more regular scaterring of design points.

When p tends to infinity, optimizing a design with φ_p is equivalent to optimizing a design with `mindist`.

### Value

A real number equal to the value of the φ_p criterion for the `design`.

### Author(s)

G. Damblin & B.Iooss

### References

Damblin G., Couplet M., and Iooss B. (2013). Numerical studies of sapce filling designs: optimization of Latin Hypercube Samples and subprojection properties, Journal of Simulation, 7:276-289, 2013.

Fang K.-T., Li R. and Sudjianto A. (2006). Design and Modeling for Computer Experiments, Chapman & Hall.

Pronzato, L. and Muller, W. (2012). Design of computer experiments: space filling and beyond, Statistics and Computing, 22:681-701.

### See Also

geometric criterion (`mindist`)

### Examples

    dimension <- 2
    n <- 40
    X <- matrix(runif(n*dimension), n, dimension)
    phiP(X)

[Package DiceDesign version 1.9 Index]