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BalancedSampling (version 2.0.6)

Balanced and Spatially Balanced Sampling

Description

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) and spatially correlated Poisson sampling by Grafström (2012) 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) .

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install.packages('BalancedSampling')

Monthly Downloads

537

Version

2.0.6

License

GPL (>= 2)

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Last Published

March 1st, 2024

Functions in BalancedSampling (2.0.6)

lcube

The Local Cube method
vsb

Variance estimator for spatially balanced samples
cube

The Cube method
scps

Spatially Correlated Poisson Sampling
BalancedSampling

BalancedSampling: Balanced and Spatially Balanced Sampling
sb

Spatial balance
hlpm2

Hierarchical Local Pivotal Method 2
genpopUniform

Generate populations
getPips

Inclusion probabilities proportional-to-size
lpm

The (Local) Pivotal Methods