mMdist computes the minimax distance of a deisng in a specified region. A large uniform sample
from the specified region is needed to compute the minimax distance.
Usage
mMdist(X, X_space)
Value
the minimax distance.
Arguments
X
a matrix specifying the design.
X_space
a large sample of uniform points in the space of interest.
Details
mMdist approximates the minimax distance of a set of points X by the large sample X_space in the space of interest.
References
Johnson, Mark E., Leslie M. Moore, and Donald Ylvisaker. (1990), "Minimax and Maximin Distance Designs”, Journal of Statistical Planning and Inference, 26, 131–148.
Wang, Shangkun, Adam P. Generale, Surya R. Kalidindi, and V. Roshan Joseph. (2024), "Sequential designs for filling output spaces", Technometrics, 66, 65–76.