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: | 2.0.6 |
| Imports: | Rcpp (≥ 1.0.12) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2024-03-01 |
| DOI: | 10.32614/CRAN.package.BalancedSampling |
| Author: | Anton Grafström, Jonathan Lisic, Wilmer Prentius |
| Maintainer: | Anton Grafström <anton.grafstrom at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://www.envisim.se/, https://github.com/envisim/BalancedSampling/ |
| NeedsCompilation: | yes |
| In views: | OfficialStatistics |
| CRAN checks: | BalancedSampling results |
| Reference manual: | BalancedSampling.pdf |
| Package source: | BalancedSampling_2.0.6.tar.gz |
| Windows binaries: | r-devel: BalancedSampling_2.0.6.zip, r-release: BalancedSampling_2.0.6.zip, r-oldrel: BalancedSampling_2.0.6.zip |
| macOS binaries: | r-release (arm64): BalancedSampling_2.0.6.tgz, r-oldrel (arm64): BalancedSampling_2.0.6.tgz, r-release (x86_64): BalancedSampling_2.0.6.tgz, r-oldrel (x86_64): BalancedSampling_2.0.6.tgz |
| Old sources: | BalancedSampling archive |
| Reverse imports: | sgsR |
| Reverse suggests: | WaveSampling |
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