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SamplingBigData: Sampling Methods for Big Data
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.
Getting started
Browse package contents
Package details |
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| Author | Jonathan Lisic, Anton Grafström |
| Maintainer | Jonathan Lisic <jlisic@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.0.0 |
| URL | https://github.com/jlisic/SamplingBigData |
| Package repository | View on CRAN |
| Installation |
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