The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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
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

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=NCSampling to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.