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: 1.0.3
Depends: R (≥ 3.5.0), plyr, sampling, devtools, SamplingStrata
Suggests: ReGenesees
Published: 2021-06-24
Author: Andrea Fasulo,Giulio Barcaroli,Raffaella Cianchetta,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
CRAN checks: R2BEAT results

Downloads:

Reference manual: R2BEAT.pdf
Package source: R2BEAT_1.0.3.tar.gz
Windows binaries: r-devel: R2BEAT_1.0.3.zip, r-release: R2BEAT_1.0.3.zip, r-oldrel: R2BEAT_1.0.3.zip
macOS binaries: r-release (arm64): R2BEAT_1.0.3.tgz, r-release (x86_64): R2BEAT_1.0.3.tgz, r-oldrel: R2BEAT_1.0.3.tgz
Old sources: R2BEAT archive

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