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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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Version

Install

install.packages('clhs')

Monthly Downloads

697

Version

0.5-5

License

GPL (>= 2)

Maintainer

Pierre Roudier

Last Published

December 18th, 2015

Functions in clhs (0.5-5)

cLHS_result

Conditioned Latin Hypercube Sampling result
plot.cLHS_result

Plot cLHS results
clhs

Conditioned Latin Hypercube Sampling
clhs-package

Conditioned Latin Hypercube Sampling