clhs: Conditioned Latin Hypercube Sampling
Version 0.5-7

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, ).

Package details

AuthorPierre Roudier
Date of publication2017-09-11 23:22:51 UTC
MaintainerPierre Roudier <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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clhs documentation built on Sept. 12, 2017, 1:03 a.m.