Package: SamplingBigData 1.0.0

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.

Authors:Jonathan Lisic, Anton Grafström

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Peer review:

Bug tracker:https://github.com/jlisic/samplingbigdata/issues

On CRAN:

2 exports 10 stars 1.82 score 0 dependencies 2 dependents 8 scripts 251 downloads

Last updated 6 years agofrom:3b89b9152f. Checks:OK: 9. Indexed: yes.

Exports:lpm2_kdtreesplit_sample

Dependencies: