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

1Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Barcaroli, G., Fasulo, A., Guandalini, A., & Terribili, M. D. (2023). Two-Stage Sampling Design and Sample Selection with the R Package R2BEAT. R Journal, 15(3), 191–213. https://doi.org/10.32614/RJ-2023-069

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free