lhs: Latin Hypercube Samples

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

Version: 1.1.6
Depends: R (≥ 3.4.0)
Imports: Rcpp
LinkingTo: Rcpp
Suggests: testthat, assertthat, DoE.base, knitr, rmarkdown
Published: 2022-12-17
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


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


Package source: lhs_1.1.6.tar.gz
Windows binaries: r-devel: lhs_1.1.6.zip, r-release: lhs_1.1.6.zip, r-oldrel: lhs_1.1.6.zip
macOS binaries: r-release (arm64): lhs_1.1.6.tgz, r-oldrel (arm64): lhs_1.1.6.tgz, r-release (x86_64): lhs_1.1.6.tgz, r-oldrel (x86_64): lhs_1.1.6.tgz
Old sources: lhs archive

Reverse dependencies:

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


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