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BalancedSampling: Balanced and Spatially Balanced Sampling

Select balanced and spatially balanced probability samples in multi-dimensional spaces with any prescribed inclusion probabilities. It contains fast (C++ via Rcpp) implementations of the included sampling methods. The local pivotal method by Grafström, Lundström and Schelin (2012) <doi:10.1111/j.1541-0420.2011.01699.x> and spatially correlated Poisson sampling by Grafström (2012) <doi:10.1016/j.jspi.2011.07.003> are included. Also the cube method (for balanced sampling) and the local cube method (for doubly balanced sampling) are included, see Grafström and Tillé (2013) <doi:10.1002/env.2194>.

Version: 2.1.1
Imports: Rcpp (≥ 1.0.13)
LinkingTo: Rcpp, RcppArmadillo
Published: 2024-11-18
DOI: 10.32614/CRAN.package.BalancedSampling
Author: Anton Grafström ORCID iD [aut, cre], Wilmer Prentius ORCID iD [aut], Jonathan Lisic [ctb]
Maintainer: Anton Grafström <anton.grafstrom at gmail.com>
License: AGPL-3
URL: https://www.envisim.se/, https://github.com/envisim/BalancedSampling/
NeedsCompilation: yes
In views: OfficialStatistics
CRAN checks: BalancedSampling results

Documentation:

Reference manual: BalancedSampling.pdf

Downloads:

Package source: BalancedSampling_2.1.1.tar.gz
Windows binaries: r-devel: BalancedSampling_2.1.1.zip, r-release: BalancedSampling_2.1.1.zip, r-oldrel: BalancedSampling_2.1.1.zip
macOS binaries: r-release (arm64): BalancedSampling_2.1.1.tgz, r-oldrel (arm64): BalancedSampling_2.1.1.tgz, r-release (x86_64): BalancedSampling_2.1.1.tgz, r-oldrel (x86_64): BalancedSampling_2.1.1.tgz
Old sources: BalancedSampling archive

Reverse dependencies:

Reverse imports: sgsR
Reverse suggests: WaveSampling

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BalancedSampling 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.