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>.

Getting started

Package details

AuthorAndrea Fasulo,Giulio Barcaroli,Stefano Falorsi,Alessio Guandalini,Daniela Pagliuca,Marco Dionisio Terribili
MaintainerAndrea Fasulo <fasulo@istat.it>
LicenseEUPL
Version1.0.5
URL https://barcaroli.github.io/R2BEAT/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("R2BEAT")

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R2BEAT documentation built on May 31, 2023, 7:19 p.m.