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).
- Version0.9.0
- R version≥ 2.14.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- clhs citation info
- Last release10/14/2021
Documentation
Team
Pierre Roudier
MaintainerShow author detailsDylan Beaudette
Show author detailsRolesContributorDavid Clifford
Show author detailsRolesContributorColby Brugnard
Show author detailsRolesContributorBenjamin Louis
Show author detailsRolesContributorKiri Daust
Show author detailsRolesContributor
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- Imports8 packages
- Suggests3 packages
- Linking To2 packages
- Reverse Imports2 packages