jlisic/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 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.
Getting started
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Package details |
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| Author | Anton Grafström, Jonathan Lisic |
| Maintainer | Anton Grafström <anton.grafstrom@gmail.com> |
| License | GPL (>=2) |
| Version | 1.5.4 |
| URL | http://www.antongrafstrom.se/balancedsampling |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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