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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
DOI: 10.32614/CRAN.package.clhs
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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.