lhs: Latin Hypercube Samples

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

Version: 1.0.1
Depends: R (≥ 3.4.0)
Imports: Rcpp
LinkingTo: Rcpp
Suggests: testthat, DoE.base, knitr, rmarkdown, covr
Published: 2019-02-03
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: README 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_1.0.1.tar.gz
Windows binaries: r-devel: lhs_1.0.1.zip, r-release: lhs_1.0.1.zip, r-oldrel: lhs_1.0.1.zip
OS X binaries: r-release: lhs_1.0.1.tgz, r-oldrel: lhs_1.0.1.tgz
Old sources: lhs archive

Reverse dependencies:

Reverse depends: acebayes, ATmet, mtk, netgen, spsh, tuneRanger
Reverse imports: binaryGP, BMhyb, DoE.wrapper, DSAIDE, DSAIRM, DynamicGP, EasyABC, GPfit, GPM, grapherator, hydroPSO, inaparc, kernDeepStackNet, LVGP, mcMST, metagen, mlrMBO, nlrx, optim.functions, ParBayesianOptimization, penalizedSVM, profExtrema, rrepast, spartan, suropt
Reverse suggests: BayesianTools, ChemoSpec2D, ContourFunctions, DiceOptim, dynparam, flacco, GAparsimony, hetGP, IGP, kergp, laGP, maximin, mistat, moko, ParamHelpers, SACOBRA, vdg


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