clhs: Conditioned Latin Hypercube Sampling

Conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006). This method proposes to stratify sampling in presence of ancillary data. An extension of this method, which propose to associate a cost to each individual and take it into account during the optimisation process, is also proposed (Roudier et al., 2012).

Version: 0.5-5
Depends: R (≥ 2.14.0)
Imports: utils, methods, grid, ggplot2, sp, raster, reshape2, plyr, scales
Published: 2015-12-18
Author: Pierre Roudier
Maintainer: Pierre Roudier <roudierp at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: clhs citation info
Materials: NEWS
CRAN checks: clhs results


Reference manual: clhs.pdf
Vignettes: Introduction to conditioned Latin hypercube sampling with the clhs package
Package source: clhs_0.5-5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: clhs_0.5-5.tgz, r-oldrel: clhs_0.5-4.tgz
OS X Mavericks binaries: r-release: clhs_0.5-5.tgz
Old sources: clhs archive