clhs: Conditioned Latin Hypercube Sampling

Conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006) <doi:10.1016/j.cageo.2005.12.009>. 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, <doi:10.1201/b12728-46>).

Version: 0.5-6
Depends: R (≥ 2.14.0)
Imports: utils, methods, grid, ggplot2, sp, raster, reshape2, plyr, scales
Published: 2016-10-14
Author: Pierre Roudier
Maintainer: Pierre Roudier <roudierp at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: clhs citation info
Materials: README NEWS
CRAN checks: clhs results


Reference manual: clhs.pdf
Vignettes: Introduction to conditioned Latin hypercube sampling with the clhs package
Package source: clhs_0.5-6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: clhs_0.5-6.tgz, r-oldrel: clhs_0.5-6.tgz
Old sources: clhs archive


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