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clhs (version 0.5-1)

Conditioned Latin Hypercube Sampling

Description

This package implements the 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

0.5-1

License

GPL (>= 2)

Maintainer

Pierre Roudier

Last Published

September 10th, 2012

Functions in clhs (0.5-1)

clhs-package

Conditioned Latin Hypercube Sampling
clhs

Conditioned Latin Hypercube Sampling
plot.cLHS_result

Plot cLHS results
cLHS_result

Conditioned Latin Hypercube Sampling result