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 | 
| 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 | 
| Reference manual: | BalancedSampling.html , BalancedSampling.pdf | 
| 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 imports: | sgsR | 
| Reverse suggests: | StratifiedSampling, WaveSampling | 
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