clhs: Conditioned Latin Hypercube Sampling

This package implements the 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: 0.5-1
Depends: R (≥ 2.9.0)
Imports: utils, methods, grid, ggplot2, sp, raster, reshape2, plyr, scales
Suggests: ggplot2
Published: 2012-09-10
Author: Pierre Roudier
Maintainer: Pierre Roudier <roudierp at landcareresearch.co.nz>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: clhs citation info
Materials: NEWS
CRAN checks: clhs results

Downloads:

Reference manual: clhs.pdf
Vignettes: Introduction to conditioned Latin hypercube sampling with the clhs package
Package source: clhs_0.5-1.tar.gz
Windows binaries: r-devel: clhs_0.5-1.zip, r-release: clhs_0.5-1.zip, r-oldrel: clhs_0.5-1.zip
OS X Snow Leopard binaries: r-release: clhs_0.5-1.tgz, r-oldrel: clhs_0.5-1.tgz
OS X Mavericks binaries: r-release: clhs_0.5-1.tgz
Old sources: clhs archive