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R2BEAT  

Multistage Sampling Allocation and Sample Selection
View on CRAN: Click here


Download and install R2BEAT package within the R console
Install from CRAN:
install.packages("R2BEAT")

Install from Github:
library("remotes")
install_github("cran/R2BEAT")

Install by package version:
library("remotes")
install_version("R2BEAT", "1.0.5")



Attach the package and use:
library("R2BEAT")
Maintained by
Andrea Fasulo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-18
Latest Update: 2023-05-25
Description:
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>.
How to cite:
Andrea Fasulo (2019). R2BEAT: Multistage Sampling Allocation and Sample Selection. R package version 1.0.5, https://cran.r-project.org/web/packages/R2BEAT
Previous versions and publish date:
1.0.0 (2019-07-18 12:54), 1.0.1 (2020-01-13 11:20), 1.0.2-1 (2021-04-20 14:10), 1.0.2 (2021-01-11 13:30), 1.0.3 (2021-06-24 11:30), 1.0.4 (2021-12-02 14:20)
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