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 version 1.1 |EUPL version 1.2 [expanded from: EUPL] |
| URL: | https://barcaroli.github.io/R2BEAT/ |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | OfficialStatistics |
| CRAN checks: | R2BEAT results |
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