Balanced and Spatially Balanced Sampling

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) .


Reference manual

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install.packages("BalancedSampling")

2.1.1 by Anton Grafström, 2 years ago


https://www.envisim.se/, https://github.com/envisim/BalancedSampling/


Browse source code at https://github.com/cran/BalancedSampling


Authors: Anton Grafström [aut, cre] , Wilmer Prentius [aut] , Jonathan Lisic [ctb]


Documentation:   PDF Manual  


AGPL-3 license


Imports Rcpp

Linking to Rcpp, RcppArmadillo


Imported by sgsR.

Suggested by StratifiedSampling, WaveSampling, fieldopt, randomizr.


See at CRAN