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)
Version0.5-7
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("clhs")

Try the clhs package in your browser

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

clhs documentation built on Sept. 12, 2017, 1:03 a.m.