CRAN/E | BalancedSampling

BalancedSampling

Balanced and Spatially Balanced Sampling

Installation

About

Select balanced and spatially balanced probability samples in multi-dimensional spaces with any prescribed inclusion probabilities. It contains fast (C++ via Rcpp) implementations of the included sampling methods. The local pivotal method by Grafström, Lundström and Schelin (2012) doi:10.1111/j.1541-0420.2011.01699.x and spatially correlated Poisson sampling by Grafström (2012) doi:10.1016/j.jspi.2011.07.003 are included. Also the cube method (for balanced sampling) and the local cube method (for doubly balanced sampling) are included, see Grafström and Tillé (2013) doi:10.1002/env.2194.

www.envisim.se/
github.com/envisim/BalancedSampling/

Key Metrics

Version 2.0.6
Published 2024-03-01 28 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks BalancedSampling results

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Maintainer

Maintainer

Anton Grafström

anton.grafstrom@gmail.com

Authors

Anton Grafström
Jonathan Lisic
Wilmer Prentius

Material

Reference manual
Package source

In Views

OfficialStatistics

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BalancedSampling archive

Imports

Rcpp ≥ 1.0.12

LinkingTo

Rcpp
RcppArmadillo

Reverse Imports

sgsR
SpotSampling

Reverse Suggests

WaveSampling