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>).

Version:	0.9.0
Depends:	R (≥ 2.14.0)
Imports:	utils, methods, grid, ggplot2, sp, sf, raster, reshape2, plyr, cluster, Rcpp
LinkingTo:	RcppArmadillo, Rcpp
Suggests:	knitr, rmarkdown, testthat
Published:	2021-10-14
Author:	Pierre Roudier [aut, cre], Colby Brugnard [ctb], Dylan Beaudette [ctb], Benjamin Louis [ctb], Kiri Daust [ctb], David Clifford [ctb]
Maintainer:	Pierre Roudier <roudierp at landcareresearch.co.nz>
BugReports:	https://github.com/pierreroudier/clhs/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/pierreroudier/clhs/
NeedsCompilation:	yes
Citation:	clhs citation info
Materials:	README NEWS
CRAN checks:	clhs results

Documentation:

Reference manual:	clhs.pdf
Vignettes:	#intro-clhs

Downloads:

Package source:	clhs_0.9.0.tar.gz
Windows binaries:	r-devel: clhs_0.9.0.zip, r-release: clhs_0.9.0.zip, r-oldrel: clhs_0.9.0.zip
macOS binaries:	r-release (arm64): clhs_0.9.0.tgz, r-oldrel (arm64): clhs_0.9.0.tgz, r-release (x86_64): clhs_0.9.0.tgz, r-oldrel (x86_64): clhs_0.9.0.tgz
Old sources:	clhs archive

Reverse dependencies:

Reverse imports:

dgpsi, sgsR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=clhs to link to this page.