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clhs (version 0.5-5)

Conditioned Latin Hypercube Sampling

Description

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).

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Install

install.packages('clhs')

Monthly Downloads

554

Version

0.5-5

License

GPL (>= 2)

Maintainer

Last Published

December 18th, 2015

Functions in clhs (0.5-5)