All Tools Bookmark

Share

http://online-toolz.com/tools/r-package-details.php?p=clhs

Facebook Share Twitter Share

clhs: Conditioned Latin Hypercube Sampling

Conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006). 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).

clhs.pdf