Provides functions to draw spatially balanced samples. It contains fast implementations (C++ via 'Rcpp') of the included sampling methods. In particular, the algorithms to draw spatially balanced samples are pwd() and swd(). These methods use a probability distribution, proportional to the within sample distance. See Benedetti R and Piersimoni F (2017) <doi:10.1002/bimj.201600194> for details. Moreover, there is a function hpwd(), which is a heuristic method to achieve approximated samples obtained by pwd() in a faster way. See Benedetti R and Piersimoni F (2017) <arXiv:1710.09116> for details. Finally, there are two functions, stprod() and stsum(), useful to standardize distance matrices in order to achieve fixed sample size using, respectively, the functions pwd() and swd().
| Version: | 1.0.0 |
| Depends: | R (≥ 3.1) |
| Imports: | Rcpp, Rdpack |
| LinkingTo: | Rcpp |
| Published: | 2018-05-30 |
| Author: | Francesco Pantalone, Roberto Benedetti, Federica Piersimoni |
| Maintainer: | Francesco Pantalone <pantalone.fra at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | Spbsampling results |
| Reference manual: | Spbsampling.pdf |
| Package source: | Spbsampling_1.0.0.tar.gz |
| Windows binaries: | r-devel: Spbsampling_1.0.0.zip, r-release: Spbsampling_1.0.0.zip, r-oldrel: Spbsampling_1.0.0.zip |
| OS X binaries: | r-release: Spbsampling_1.0.0.tgz, r-oldrel: Spbsampling_1.0.0.tgz |
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