R2BEAT
1.0.5Multistage Sampling Allocation and Sample Selection
Overview
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.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-109 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 8%
- Documented parameters
- 100%
- Return-value docs
- 82%
- References docs
- 16%
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7 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0.5Latest
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.0.42021-12-02 · diff ↗
- 1.0.32021-06-24 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.0.2-12021-04-20 · diff ↗
- 1.0.22021-01-11 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.0.12020-01-13 · diff ↗
- 1.0.02019-07-18
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-07-18
- Total releases
- 7 / 7 yrs
- License
- EUPL
- Minimum R
- ≥ 3.5.0
- Bundled data
- 8.6 KB / 1 file
- Download size
- 1.3 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet