Provides functionality for performing Nearest Centroid (NC) Sampling. The NC sampling procedure was developed for forestry applications and selects plots for ground measurement so as to maximize the efficiency of imputation estimates. It uses multiple auxiliary variables and multivariate clustering to search for an optimal sample. Further details are given in Melville G. & Stone C. (2016) <doi:10.1080/00049158.2016.1218265>.
| Version: | 1.0 |
| Imports: | yaImpute, lattice, randomForest |
| Published: | 2017-06-27 |
| DOI: | 10.32614/CRAN.package.NCSampling |
| Author: | GJ Melville |
| Maintainer: | Gavin Melville <gavin.melville at dpi.nsw.gov.au> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | NCSampling results |
| Reference manual: | NCSampling.pdf |
| Package source: | NCSampling_1.0.tar.gz |
| Windows binaries: | r-devel: NCSampling_1.0.zip, r-release: NCSampling_1.0.zip, r-oldrel: NCSampling_1.0.zip |
| macOS binaries: | r-devel (arm64): NCSampling_1.0.tgz, r-release (arm64): NCSampling_1.0.tgz, r-oldrel (arm64): NCSampling_1.0.tgz, r-devel (x86_64): NCSampling_1.0.tgz, r-release (x86_64): NCSampling_1.0.tgz, r-oldrel (x86_64): NCSampling_1.0.tgz |
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