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BalancedSampling (version 1.4)

Balanced and spatially balanced sampling

Description

This package includes methods that can 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 and spatially correlated Poisson sampling (for spatially balanced sampling) are included. Also the cube method (for balanced sampling) and the local cube method (for doubly balanced sampling) are included.

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Version

Install

install.packages('BalancedSampling')

Monthly Downloads

968

Version

1.4

License

GPL (>= 2)

Maintainer

Anton Grafstrm

Last Published

May 2nd, 2014

Functions in BalancedSampling (1.4)

cube

Cube method (Balanced sampling)
cubestratified

Stratified balanced sampling with pooling of landing phases
lpm1

Local pivotal method 1
flightphase

Flight phase of the cube method
BalancedSampling-package

Balanced and spatially balanced sampling
lpm

Local pivotal method (sub-optimal)
rpm

Random pivotal method
lcubestratified

Stratified doubly balanced sampling with pooling of landing phases
scps

Spatially correlated Poisson sampling
spm

Sequential pivotal method (also known as ordered pivotal sampling and Deville's systematic sampling)
landingphase

Landing phase of the cube method
lcubeflightphase

Flight phase for the local cube method
vsb

Variance estimator for spatially balanced sample
sb

Spatial balance
lpm2

Local pivotal method 2
lcube

Local cube method (Doubly balanced sampling)
lcubelandingphase

Landing phase for the local cube method
probabilities

Inclusion probabilities