Provides two main functions, minimax() and miniMaxPro(), for computing minimax and minimax projection designs using the minimax clustering algorithm in Mak and Joseph (2018) <doi:10.1080/10618600.2017.1302881>. Current design region options include the unit hypercube ("hypercube"), the unit simplex ("simplex"), the unit ball ("ball"), as well as user-defined constraints on the unit hypercube ("custom"). Minimax designs can also be computed on user-provided images using the function minimax.map(). Design quality can be assessed using the function mMdist(), which computes the minimax (fill) distance of a design.
Version: | 0.1.4 |
Imports: | Rcpp (≥ 0.12.4), randtoolbox, DiceDesign, MaxPro, doParallel, doSNOW, gtools, nloptr, foreach, jpeg, gmp, conf.design, pdist, DoE.base, FrF2 |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2019-05-06 |
Author: | Simon Mak |
Maintainer: | Simon Mak <smak6 at gatech.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
In views: | ExperimentalDesign |
CRAN checks: | minimaxdesign results |
Reference manual: | minimaxdesign.pdf |
Package source: | minimaxdesign_0.1.4.tar.gz |
Windows binaries: | r-devel: minimaxdesign_0.1.4.zip, r-release: minimaxdesign_0.1.4.zip, r-oldrel: minimaxdesign_0.1.4.zip |
macOS binaries: | r-release: minimaxdesign_0.1.4.tgz, r-oldrel: minimaxdesign_0.1.4.tgz |
Old sources: | minimaxdesign archive |
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