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minimaxdesign
View on CRAN: Click
here
Download and install minimaxdesign package within the R console
Install from CRAN:
install.packages("minimaxdesign")
Install from Github:
library("remotes")
install_github("cran/minimaxdesign")
Install by package version:
library("remotes")
install_version("minimaxdesign", "0.1.5")
Attach the package and use:
library("minimaxdesign")
Maintained by
Simon Mak
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
First Published: 2016-04-21
Latest Update: 2024-01-12
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.
How to cite:
Simon Mak (2016). minimaxdesign: Minimax and Minimax Projection Designs. R package version 0.1.5, https://cran.r-project.org/web/packages/minimaxdesign. Accessed 14 Mar. 2025.
Previous versions and publish date:
Other packages that cited minimaxdesign R package
View minimaxdesign citation profile
Other R packages that minimaxdesign depends,
imports, suggests or enhances
Functions, R codes and Examples using
the minimaxdesign R package
Some associated functions: CtoA . CtoB . mMdist . miniMaxPro . minimax.map . minimax . minimax.seq . minimaxdesign-package .
Some associated R codes: RcppExports.R . criteria.R . designcrit.R . minimax.R . sequential.R . transform.R . Full minimaxdesign package functions and examples
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