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 and spatially correlated Poisson sampling (for spatially balanced sampling) are included. Also the cube method (for balanced sampling) and the local cube method (for doubly balanced sampling) are included.

Version: 1.5.5
Imports: Rcpp (≥ 0.11.1), SamplingBigData
LinkingTo: Rcpp
Published: 2019-03-01
Author: Anton Grafström, Jonathan Lisic
Maintainer: Anton Grafström <anton.grafstrom at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: OfficialStatistics
CRAN checks: BalancedSampling results


Reference manual: BalancedSampling.pdf


Package source: BalancedSampling_1.5.5.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BalancedSampling_1.5.5.tgz, r-release (x86_64): BalancedSampling_1.5.5.tgz, r-oldrel: BalancedSampling_1.5.5.tgz
Old sources: BalancedSampling archive

Reverse dependencies:

Reverse imports: SpotSampling
Reverse suggests: StratifiedSampling, WaveSampling


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