CRAN/E | SamplingBigData

SamplingBigData

Sampling Methods for Big Data

Installation

About

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.

github.com/jlisic/SamplingBigData

Key Metrics

Version 1.0.0
Published 2018-09-03 1917 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

Jonathan Lisic

jlisic@gmail.com

Authors

Jonathan Lisic
Anton Grafström

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Reverse Depends

SamplingStrata

Reverse Imports

BalancedSampling
sgsR