lhs: Latin Hypercube Samples

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

Version: 0.16
Depends: R (≥ 3.3.0)
Suggests: RUnit
Published: 2018-01-04
Author: Rob Carnell [aut, cre]
Maintainer: Rob Carnell <bertcarnell at gmail.com>
BugReports: http://r-forge.r-project.org/projects/lhs/
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://lhs.r-forge.r-project.org
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
Package source: lhs_0.16.tar.gz
Windows binaries: r-devel: lhs_0.16.zip, r-release: lhs_0.16.zip, r-oldrel: lhs_0.16.zip
OS X binaries: r-release: lhs_0.16.tgz, r-oldrel: lhs_0.16.tgz
Old sources: lhs archive

Reverse dependencies:

Reverse depends: acebayes, ATmet, mtk, netgen, tuneRanger
Reverse imports: binaryGP, BMhyb, DoE.wrapper, DSAIRM, DynamicGP, EasyABC, GPfit, GPM, grapherator, hydroPSO, inaparc, kernDeepStackNet, LVGP, mcMST, metagen, mlrMBO, optim.functions, penalizedSVM, plspolychaos, polychaosbasics, profExtrema, qle, rrepast, spartan
Reverse suggests: BayesianTools, DiceOptim, flacco, GAparsimony, IGP, kergp, laGP, maximin, mistat, moko, ParamHelpers, SACOBRA, vdg

Linking:

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