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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>).
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Package details |
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| Author | Pierre Roudier [aut, cre], Colby Brugnard [ctb], Dylan Beaudette [ctb], Benjamin Louis [ctb], Kiri Daust [ctb], David Clifford [ctb] |
| Maintainer | Pierre Roudier <roudierp@landcareresearch.co.nz> |
| License | GPL (>= 2) |
| Version | 0.9.0 |
| URL | https://github.com/pierreroudier/clhs/ |
| Package repository | View on CRAN |
| Installation |
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