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BalancedSampling

swMATH ID: 15761
Software Authors: Anton Grafström, Jonathan Lisic
Description: R package BalancedSampling. 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.
Homepage: https://cran.r-project.org/web/packages/BalancedSampling/index.html
Source Code:  https://github.com/cran/BalancedSampling
Dependencies: R
Keywords: Spatially Balanced Sampling; Balanced Sampling
Related Software: sampling; R; spsurvey; Spbsampling; spcosa; CRAN; MBHdesign; SDraw; DepthProc; RcppArmadillo; vegan; Stratification; Statmod; SamplingBigData; TSP; agridat
Cited in: 11 Publications

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