Two-Stage Sampling Design and Sample Selection with the R Package R2BEAT

R2BEAT (“R ‘to’ Bethel Extended Allocation for Two-stage sampling”) is an R package for the optimal allocation of a sample. Its peculiarity lies in properly addressing allocation problems for two-stage and complex sampling designs with multi-domain and multi-purpose aims. This is common in many official and non-official statistical surveys, therefore R2BEAT could become an essential tool for planning a sample survey. The functions implemented in R2BEAT allow the use of different workflows, depending on the available information on one or more interest variables. The package covers all the phases, from the optimization of the sample to the selection of the Primary and Secondary Stage Units. Furthermore, it provides several outputs for evaluating the allocation results.

Giulio Barcaroli (Independent consultant) , Andrea Fasulo (Italian National Institute of Statistics) , Alessio Guandalini (Italian National Institute of Statistics) , Marco D. Terribili (Italian National Institute of Statistics)
2023-12-18

0.1 Supplementary materials

Supplementary materials are available in addition to this article. It can be downloaded at RJ-2023-069.zip

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For attribution, please cite this work as

Barcaroli, et al., "Two-Stage Sampling Design and Sample Selection with the R Package R2BEAT", The R Journal, 2023

BibTeX citation

@article{RJ-2023-069,
  author = {Barcaroli, Giulio and Fasulo, Andrea and Guandalini, Alessio and Terribili, Marco D.},
  title = {Two-Stage Sampling Design and Sample Selection with the R Package R2BEAT},
  journal = {The R Journal},
  year = {2023},
  note = {https://doi.org/10.32614/RJ-2023-069},
  doi = {10.32614/RJ-2023-069},
  volume = {15},
  issue = {3},
  issn = {2073-4859},
  pages = {191-213}
}

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