Provides two main functions: mMcPSO() and miniMaxPro(), which generates minimax designs and minimax projection designs using a hybrid clustering - particle swarm optimization (PSO) algorithm. These designs can be used in a variety of settings, e.g., as space-filling designs for computer experiments or sensor allocation designs. A detailed description of the two designs and the employed algorithms can be found in Mak and Joseph (2016) <https://arxiv.org/abs/1602.03938>.
|Date of publication||2016-11-23 01:38:32|
|Maintainer||Simon Mak <firstname.lastname@example.org>|
|License||GPL (>= 2)|
CtoA: Inverse Rosenblatt transformation from the unit hypercube to...
CtoB: Inverse Rosenblatt transformation from the unit hypercube to...
minimaxdesign-package: An R package for computing Minimax and Minimax Projection...
miniMaxPro: Compute minimax projection designs using clustering
mMcPSO: Compute minimax designs using clustering