barcaroli/R2BEATold: Multistage Samplign Design and PSUs 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 Primary Stage Units selection.

Getting started

Package details

AuthorStefano Falorsi,Andrea Fasulo,Alessio Guandalini,Daniela Pagliuca,Marco Dionisio Terribili,Giulio Barcaroli,Raffaella Cianchetta
MaintainerAndrea Fasulo <fasulo@istat.it>
LicenseEUPL
Version1.0.2
URL https://barcaroli.github.io/R2BEAT/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("barcaroli/R2BEATold")
barcaroli/R2BEATold documentation built on Jan. 2, 2021, 7:09 p.m.