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/b12728-46>).

Package details

AuthorPierre Roudier [aut, cre], Colby Brugnard [ctb], Dylan Beaudette [ctb], Benjamin Louis [ctb]
MaintainerPierre Roudier <[email protected]>
LicenseGPL (>= 2)
Version0.7-0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("clhs")

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clhs documentation built on Oct. 11, 2018, 1:04 a.m.