R2BEAT: Multistage Sampling Allocation and Sample Selection
Multivariate optimal allocation for different domains in one and two stages stratified sample design. 'R2BEAT' extends the Neyman (1934) – Tschuprow (1923) allocation method to the case of several variables, adopting a generalization of the Bethel’s proposal (1989). 'R2BEAT' develops this methodology but, moreover, it allows to determine the sample allocation in the multivariate and multi-domains case of estimates for two-stage stratified samples. It also allows to perform both Primary Stage Units and Secondary Stage Units selection. This package requires the availability of 'ReGenesees', that can be installed from <https://github.com/DiegoZardetto/ReGenesees>.
| Version: |
1.0.5 |
| Depends: |
R (≥ 3.5.0), sampling, glue, methods, parallel, foreach, doParallel |
| Suggests: |
ReGenesees |
| Published: |
2023-05-25 |
| DOI: |
10.32614/CRAN.package.R2BEAT |
| Author: |
Andrea Fasulo,Giulio Barcaroli,Stefano Falorsi,Alessio Guandalini,Daniela Pagliuca,Marco Dionisio Terribili |
| Maintainer: |
Andrea Fasulo <fasulo at istat.it> |
| BugReports: |
https://github.com/barcaroli/R2BEAT/issues |
| License: |
EUPL |
| URL: |
https://barcaroli.github.io/R2BEAT/ |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| In views: |
OfficialStatistics |
| CRAN checks: |
R2BEAT results |
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