GLP: Good Lattice Point Design
In LHD: Latin Hypercube Designs (LHDs)

Description Usage Arguments Value References Examples

GLP returns a n by k design matrix generated by good lattice point (GLP)

1	GLP(n, k, h = sample(seq(from = 1, to = (n - 1)), k))

`n`	A positive integer, which stands for the number of rows (or run size).
`k`	A positive integer, which stands for the number of columns (or factor size). `k` must be smaller than `n`. In GLP designs, `k` <= the total number of positive integers that are smaller than and coprime to `n`.
`h`	A vector whose length is `k`, with its elements that are smaller than and coprime to `n`. The default is set to be a random sample of `k` elements between 1 and `n-1`.

If all inputs are logical, then the output will be a n by k GLP design matrix.

Korobov, A.N. (1959) The approximate computation of multiple integrals. Dokl. Akad. Nauk SSSR, 124, 1207-1210.

#generate a 5 by 3 GLP design with the default setting
try=GLP(n=5,k=3)
try

#Another example
#generate a 8 by 4 GLP design with given h vector
try2=GLP(n=8,k=4,h=c(1,3,5,7))
try2