lhs: Latin Hypercube Samples

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

Version: 1.1.3
Depends: R (≥ 3.4.0)
Imports: Rcpp
LinkingTo: Rcpp
Suggests: testthat, assertthat, DoE.base, knitr, rmarkdown, covr
Published: 2021-09-08
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: ChangeLog
In views: Distributions, ExperimentalDesign
CRAN checks: lhs results

Downloads:

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_1.1.3.tar.gz
Windows binaries: r-devel: lhs_1.1.3.zip, r-devel-UCRT: lhs_1.1.3.zip, r-release: lhs_1.1.3.zip, r-oldrel: lhs_1.1.3.zip
macOS binaries: r-release (arm64): lhs_1.1.3.tgz, r-release (x86_64): lhs_1.1.3.tgz, r-oldrel: lhs_1.1.3.tgz
Old sources: lhs archive

Reverse dependencies:

Reverse depends: acebayes, ATmet, mtk, netgen, spsh, tuneRanger
Reverse imports: activegp, binaryGP, DoE.wrapper, DSAIDE, DSAIRM, DynamicGP, EasyABC, ENMTools, GPfit, GPM, grapherator, hydroPSO, imabc, inaparc, LVGP, MaOEA, mcMST, mlrintermbo, mlrMBO, optim.functions, OUwie, ParBayesianOptimization, penalizedSVM, poems, profExtrema, rrepast, sensobol, tools4uplift, tramnet, TREXr, varycoef, yager, yap
Reverse suggests: BayesianTools, ChemoSpec2D, comparer, ContourFunctions, dynparam, flacco, GAparsimony, hetGP, IGP, laGP, liGP, maximin, mistat, moko, OptimaRegion, paradox, ParamHelpers, RKHSMetaMod, SACOBRA, vdg

Linking:

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