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 |