NCSampling: Nearest Centroid (NC) Sampling

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
Author:	GJ Melville
Maintainer:	Gavin Melville <gavin.melville at dpi.nsw.gov.au>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	NCSampling results

Documentation:

Reference manual:

NCSampling.pdf

Downloads:

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-release (arm64): NCSampling_1.0.tgz, r-oldrel (arm64): NCSampling_1.0.tgz, r-release (x86_64): NCSampling_1.0.tgz, r-oldrel (x86_64): NCSampling_1.0.tgz

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