R2BEAT: Multistage Allocation

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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