NestedDesign: Definition of nested experimental design sets for...
In MuFiCokriging: Multi-Fidelity Cokriging models

Description Usage Arguments Details Value Author(s) References See Also Examples

Build an object of class S3 ("NestDesign") defining nested experimental design sets used to build multi-fidelity Cokriging models.

1	NestedDesign(x, nlevel , indices = NULL, n = NULL)

`x`	a matrix representing the experimental design set of the code level 1.
`nlevel`	an integer representing the number of code levels.
`indices`	a list of vectors. The ith element of the list contains the indices of the points in the experimental design set of the level i-1 constituting the experimental design set of the level i. If `indices = NULL` they are randomly sampled according to the number of observations defining in `n`.
`n`	a vector containing the number of observations at level k=2,...,nlevel. It is not taking into account if `indices` is different from `NULL`.

The procedure does not change the experimental design set of the highest code level. During the procedure, the points of D_{k-1} the closest to those of D_k with k=2,...,nlevel are removed and they are replaced by the points of D_k . Thus, the length of the final D_{k-1} could be larger than the one of the initial D_{k-1}. (see "MuFicokm")

an object of class ("NestDesign") representing a nested experimental design set.

Loic Le Gratiet

LE GRATIET, L. & GARNIER, J. (2012), Recursive co-kriging model for Design of Computer Experiments with multiple levels of fidelity, arXiv:1210.0686.

MuFicokm, ExtractNestDesign, NestedDesignBuild

#-- Nested Experimental design sets
	dimension <- 3
	nD1 <- 100
	nD2 <- 50		
	nD3 <- 20
	set.seed(1);D1 <- matrix(runif(n=nD1*dimension, 0,1),ncol=dimension)
	NestDesign <- NestedDesign(D1, nlevel=3 , n = c(nD2,nD3))