The contents related to R2BEAT are shown in the following sections:
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.
R2BEAT easily manages all the complexity due to the optimal sample allocation in two-stage sampling design and provides several outputs for evaluating the allocation. Its name stands for “R ‘to’ Bethel Extended Allocation for Two-stage”. It is an extension of another open-source software called Mauss-R (Multivariate Allocation of Units in Sampling Surveys), implemented by ISTAT researchers. Mauss-R determines the optimal sample allocation in multivariate and multi-domains estimation, for one-stage stratified samples.
|GSBPM Codification:||2.4 Design frame and sample
4.1 Create frame and select sample
|Keywords:||sampling, two-stages, optimal allocation, multivariate, multi domain, stratified|
|Maintainer Contact:|| Andrea Fasulo
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Release date: 02/02/2021
Install the downloaded package from within R as follows:
> install.packages(path_to_file, repos = NULL)
where the character path_to_file is the path to the .zip or .tar.gz file you downloaded.
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