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: | 1.6.3 |
| Imports: | Rcpp (≥ 0.11.1), SamplingBigData |
| LinkingTo: | Rcpp |
| Published: | 2022-06-29 |
| 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: | http://www.antongrafstrom.se/balancedsampling/ |
| NeedsCompilation: | yes |
| In views: | OfficialStatistics |
| CRAN checks: | BalancedSampling results |
| Reference manual: | BalancedSampling.pdf |
| Package source: | BalancedSampling_1.6.3.tar.gz |
| Windows binaries: | r-devel: BalancedSampling_1.6.3.zip, r-release: BalancedSampling_1.6.3.zip, r-oldrel: BalancedSampling_1.6.3.zip |
| macOS binaries: | r-release (arm64): BalancedSampling_1.6.3.tgz, r-oldrel (arm64): BalancedSampling_1.6.3.tgz, r-release (x86_64): BalancedSampling_1.6.3.tgz, r-oldrel (x86_64): BalancedSampling_1.6.3.tgz |
| Old sources: | BalancedSampling archive |
| Reverse imports: | sgsR, SpotSampling |
| Reverse suggests: | StratifiedSampling, WaveSampling |
Please use the canonical form https://CRAN.R-project.org/package=BalancedSampling to link to this page.