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BalancedSampling: Balanced and Spatially Balanced Sampling
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>.
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Package details |
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| Author | Anton Grafström [aut, cre] (<https://orcid.org/0000-0002-4345-4024>), Wilmer Prentius [aut] (<https://orcid.org/0000-0002-3561-290X>), Jonathan Lisic [ctb] |
| Maintainer | Anton Grafström <anton.grafstrom@gmail.com> |
| License | AGPL-3 |
| Version | 2.1.1 |
| URL | https://www.envisim.se/ https://github.com/envisim/BalancedSampling/ |
| Package repository | View on CRAN |
| Installation |
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