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 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_1.5.5.tar.gz |
| Windows binaries: | r-devel: BalancedSampling_1.5.5.zip, r-release: BalancedSampling_1.5.5.zip, r-oldrel: BalancedSampling_1.5.5.zip |
| macOS binaries: | r-release: BalancedSampling_1.5.5.tgz, r-oldrel: BalancedSampling_1.5.5.tgz |
| Old sources: | BalancedSampling archive |
| Reverse suggests: | WaveSampling |
Please use the canonical form https://CRAN.R-project.org/package=BalancedSampling to link to this page.