BalancedSampling: Balanced and spatially balanced sampling

This package includes methods that can 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: 1.4
Imports: Rcpp (≥ 0.11.1)
LinkingTo: Rcpp
Published: 2014-05-02
Author: Anton Grafström
Maintainer: Anton Grafström <anton.grafstrom at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: BalancedSampling results


Reference manual: BalancedSampling.pdf
Package source: BalancedSampling_1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: BalancedSampling_1.4.tgz, r-oldrel: BalancedSampling_1.4.tgz
OS X Mavericks binaries: r-release: BalancedSampling_1.4.tgz
Old sources: BalancedSampling archive