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.

Package details

AuthorJonathan Lisic, Anton Grafström
MaintainerJonathan Lisic <[email protected]>
LicenseGPL (>= 2)
Version1.0.0
URL https://github.com/jlisic/SamplingBigData
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SamplingBigData")

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SamplingBigData documentation built on Sept. 3, 2018, 5:04 p.m.