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:	1.0.4
Depends:	R (≥ 3.5.0), sampling, devtools, glue
Suggests:	ReGenesees
Published:	2021-12-02
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

Documentation:

Reference manual:

R2BEAT.pdf

Downloads:

Package source:	R2BEAT_1.0.4.tar.gz
Windows binaries:	r-devel: R2BEAT_1.0.4.zip, r-release: R2BEAT_1.0.4.zip, r-oldrel: R2BEAT_1.0.4.zip
macOS binaries:	r-release (arm64): R2BEAT_1.0.4.tgz, r-oldrel (arm64): R2BEAT_1.0.4.tgz, r-release (x86_64): R2BEAT_1.0.4.tgz, r-oldrel (x86_64): R2BEAT_1.0.4.tgz
Old sources:	R2BEAT archive

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