Multivariate optimal allocation for different domains in one and two stages stratified sample design. R2BEAT extends the Neyman (1934) <doi:10.2307/2342192> – 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.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.5.0) |
| Published: | 2020-01-13 |
| Author: | Stefano Falorsi, Andrea Fasulo, Alessio Guandalini, Daniela Pagliuca, Marco Dionisio Terribili |
| Maintainer: | Andrea Fasulo <fasulo at istat.it> |
| License: | EUPL |
| NeedsCompilation: | no |
| CRAN checks: | R2BEAT results |
| Reference manual: | R2BEAT.pdf |
| Package source: | R2BEAT_1.0.1.tar.gz |
| Windows binaries: | r-devel: R2BEAT_1.0.1.zip, r-release: R2BEAT_1.0.1.zip, r-oldrel: R2BEAT_1.0.1.zip |
| macOS binaries: | r-release: R2BEAT_1.0.1.tgz, r-oldrel: R2BEAT_1.0.1.tgz |
| Old sources: | R2BEAT archive |
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