Package: SFDesign 0.1.5

SFDesign: Space-Filling Designs

Construct various types of space-filling designs, including Latin hypercube designs, clustering-based designs, maximin designs, maximum projection designs, and uniform designs (Joseph 2016 <doi:10.1080/08982112.2015.1100447>). It also offers the option to optimize designs based on user-defined criteria. This work is supported by U.S. National Science Foundation grant DMS-2310637.

Authors:Shangkun Wang [aut, cre], Roshan Joseph [aut]

SFDesign_0.1.5.tar.gz
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manual.pdf |manual.html✨
card.svg |card.png
SFDesign/json (API)

# Install 'SFDesign' in R:

install.packages('SFDesign', repos = c('https://shangkunwang01.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.60 score 6 scripts 174 downloads 19 exports 7 dependencies

Last updated from:d92753a86a. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	138
linux-devel-x86_64	OK	144
source / vignettes	OK	278
linux-release-arm64	OK	137
linux-release-x86_64	OK	192
macos-release-arm64	OK	139
macos-release-x86_64	OK	222
macos-oldrel-arm64	OK	177
macos-oldrel-x86_64	OK	448
windows-devel	OK	178
windows-release	OK	131
windows-oldrel	OK	119
wasm-release	OK	112

Exports:cluster.error clustering.design continuous.optim customLHD full.factorial maximin.augment maximin.crit maximin.optim maximin.remove maximinLHD maxpro.crit maxpro.optim maxpro.remove maxproLHD randomLHD uniform.crit uniform.discrete uniform.optim uniformLHD

Dependencies:GenSA nloptr primes proxy Rcpp RcppArmadillo spacefillr

Help page	Topics
Space-Filling designs	SFDesign-package
Clustering error	cluster.error
Designs generated by clustering algorithms	clustering.design
Continuous optimization of a design	continuous.optim
Generate a Latin-hypercube design (LHD) based on a custom criterion	customLHD
Full factorial design	full.factorial
Augment a design by adding new design points that minimize the reciprocal distance criterion greedily	maximin.augment
Maximin criterion	maximin.crit
Optimize a design based on maximin or reciprocal distance criterion	maximin.optim
Sequentially remove design points from a design while maintaining low reciprocal distance criterion as possible	maximin.remove
Generate a maximin Latin-hypercube design (LHD)	maximinLHD
Maximum projection (MaxPro) criterion	maxpro.crit
Optimize a design based on the maximum projection criterion	maxpro.optim
Sequentially remove design points from a design while maintaining low maximum projection criterion as possible	maxpro.remove
Generate a MaxPro Latin-hypercube design	maxproLHD
Random Latin hypercube design	randomLHD
Uniform criterion	uniform.crit
Generate a uniform design for discrete factors with different number of levels	uniform.discrete
Optimize a design based on the wrap-around discrepancy	uniform.optim
Generate a uniform Latin-hypercube design (LHD)	uniformLHD

Package: SFDesign 0.1.5

SFDesign: Space-Filling Designs

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)