Conditioned Latin Hypercube Sampling

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, ).

clhs

A faster (C++) implementation of the conditioned Latin Hypercube Sampling method

Scope

Installation

The C++ method is not yet on CRAN.

You can install it using the devtools package to install clhs:

devtools::install_github("pierreroudier/clhs")