Minimax and Minimax Projection Designs

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 (2017) .


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Reference manual

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install.packages("minimaxdesign")

0.1.3 by Simon Mak, a year ago


Browse source code at https://github.com/cran/minimaxdesign


Authors: Simon Mak


Documentation:   PDF Manual  


Task views: Design of Experiments (DoE) & Analysis of Experimental Data


GPL (>= 2) license


Imports Rcpp, randtoolbox, DiceDesign, MaxPro, doParallel, doSNOW, gtools, nloptr, foreach, jpeg

Linking to Rcpp, RcppArmadillo


See at CRAN