lhs: Latin Hypercube Samples

Provides a number of methods for creating and augmenting Latin Hypercube Samples and Orthogonal Array Latin Hypercube Samples.

Version:	1.2.0
Depends:	R (≥ 3.4.0)
Imports:	Rcpp
LinkingTo:	Rcpp
Suggests:	testthat, DoE.base, knitr, rmarkdown
Published:	2024-06-30
DOI:	10.32614/CRAN.package.lhs
Author:	Rob Carnell [aut, cre]
Maintainer:	Rob Carnell <bertcarnell at gmail.com>
BugReports:	https://github.com/bertcarnell/lhs/issues
License:	GPL-3
URL:	https://github.com/bertcarnell/lhs
NeedsCompilation:	yes
Materials:	NEWS ChangeLog
In views:	Distributions, ExperimentalDesign
CRAN checks:	lhs results

Documentation:

Reference manual:	lhs.pdf
Vignettes:	An Example of Augmenting a Latin Hypercube Examples of Correlated and Multivariate Latin hypercubes Basic Latin hypercube samples and designs with package lhs Latin Hypercube Samples - Questions

Downloads:

Package source:	lhs_1.2.0.tar.gz
Windows binaries:	r-devel: lhs_1.2.0.zip, r-release: lhs_1.2.0.zip, r-oldrel: lhs_1.2.0.zip
macOS binaries:	r-release (arm64): lhs_1.2.0.tgz, r-oldrel (arm64): lhs_1.2.0.tgz, r-release (x86_64): lhs_1.2.0.tgz, r-oldrel (x86_64): lhs_1.2.0.tgz
Old sources:	lhs archive

Reverse dependencies:

Reverse depends:	acebayes, ContourFunctions, OSFD, spsh, tuneRanger
Reverse imports:	activegp, BayesianPlatformDesignTimeTrend, binaryGP, dgpsi, DoE.wrapper, DSAIDE, DSAIRM, DynamicGP, EasyABC, ENMTools, ezECM, GPfit, GPM, grapherator, hmer, imabc, inaparc, LVGP, MaOEA, mlrintermbo, mlrMBO, nlrx, optim.functions, OUwie, ParBayesianOptimization, poems, profExtrema, RNAmf, rrepast, sensobol, SOAs, tools4uplift, tramnet, varycoef, yager
Reverse suggests:	BayesianTools, ChemoSpec2D, comparer, dynparam, flacco, GAparsimony, GauPro, ggDoE, hetGP, laGP, leapgp, maximin, mixopt, mlr3mbo, nls2, OptimaRegion, paradox, ParamHelpers, RKHSMetaMod, vdg, VeccTMVN

Linking:

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