clhs: Conditioned Latin Hypercube Sampling
Version 0.6-0

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 [aut, cre], Colby Brugnard [ctb], Dylan Beaudette [ctb]
Date of publication2018-04-13 03:18:40 UTC
MaintainerPierre Roudier <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the clhs package in your browser

Any scripts or data that you put into this service are public.

clhs documentation built on April 13, 2018, 9:04 a.m.