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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>.

Versions across snapshots

VersionRepositoryFileSize
1.0.5 rolling linux/jammy R-4.5 R2BEAT_1.0.5.tar.gz 1.4 MiB
1.0.5 rolling linux/noble R-4.5 R2BEAT_1.0.5.tar.gz 1.4 MiB
1.0.5 rolling source/ R- R2BEAT_1.0.5.tar.gz 1.2 MiB
1.0.5 latest linux/jammy R-4.5 R2BEAT_1.0.5.tar.gz 1.4 MiB
1.0.5 latest linux/noble R-4.5 R2BEAT_1.0.5.tar.gz 1.4 MiB
1.0.5 latest source/ R- R2BEAT_1.0.5.tar.gz 1.2 MiB
1.0.5 2026-04-26 source/ R- R2BEAT_1.0.5.tar.gz 1.2 MiB
1.0.5 2026-04-23 source/ R- R2BEAT_1.0.5.tar.gz 1.2 MiB
1.0.5 2026-04-09 windows/windows R-4.5 R2BEAT_1.0.5.zip 1.4 MiB
1.0.5 2025-04-20 source/ R- R2BEAT_1.0.5.tar.gz 1.2 MiB

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