Select sampling methods for probability samples using large data sets. This includes spatially balanced sampling in multi-dimensional spaces with any prescribed inclusion probabilities. All implementations are written in C with efficient data structures such as k-d trees that easily scale to several million rows on a modern desktop computer.
|Author||Jonathan Lisic, Anton Grafström|
|Maintainer||Jonathan Lisic <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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