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: |
0.9.2 |
| Depends: |
R (≥ 2.14.0) |
| Imports: |
utils, methods, grid, ggplot2, sf, raster, reshape2, plyr, cluster, Rcpp |
| LinkingTo: |
RcppArmadillo, Rcpp |
| Suggests: |
terra, sp, knitr, rmarkdown, testthat |
| Published: |
2025-10-20 |
| 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],
Andrew Brown 
[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 |