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minimaxdesign (version 0.1.5)

Minimax and Minimax Projection Designs

Description

Provides two main functions, minimax() and miniMaxPro(), for computing minimax and minimax projection designs using the minimax clustering algorithm in Mak and Joseph (2018) . 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.

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Version

Install

install.packages('minimaxdesign')

Monthly Downloads

148

Version

0.1.5

License

GPL (>= 2)

Maintainer

Last Published

July 12th, 2021

Functions in minimaxdesign (0.1.5)

minimax

Compute minimax designs using clustering on constrained design regions
CtoA

Inverse Rosenblatt transformation from the unit hypercube to the unit simplex
minimax.seq

Compute sequential minimax designs using clustering on constrained design regions
mMdist

Computes the minimax (fill) distance of a design
CtoB

Inverse Rosenblatt transformation from the unit hypercube to the unit ball
minimax.map

Compute minimax designs using clustering on a user-provided image
miniMaxPro

Compute minimax projection designs using clustering on constrained design regions
minimaxdesign-package

An R package for computing Minimax and Minimax Projection Designs