Conditioned Latin Hypercube Sampling R package clhs version 0.9.2 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>). Software 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 Pierre Roudier <roudierp@landcareresearch.co.nz> Comprehensive R Archive Network (CRAN) Pierre Roudier [aut, cre], Colby Brugnard [ctb], Dylan Beaudette [ctb], Benjamin Louis [ctb], Kiri Daust [ctb], David Clifford [ctb], Andrew Brown [ctb] (ORCID: <https://orcid.org/0000-0002-4565-533X>) GPL (>= 2) 2025-10-20 application/tgz https://CRAN.R-project.org/package=clhs doi:10.32614/CRAN.package.clhs