pierreroudier/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>).

Getting started

Package details

MaintainerPierre Roudier <roudierp@landcareresearch.co.nz>
LicenseGPL (>= 2)
Version0.9.0
URL https://github.com/pierreroudier/clhs/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("pierreroudier/clhs")
pierreroudier/clhs documentation built on April 21, 2022, 2:05 p.m.