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R2BEAT (version 1.0.1)

Multistage Allocation

Description

Multivariate optimal allocation for different domains in one and two stages stratified sample design. R2BEAT extends the Neyman (1934) <80><93> Tschuprow (1923) allocation method to the case of several variables, adopting a generalization of the Bethel<80><99>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.

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Version

Install

install.packages('R2BEAT')

Monthly Downloads

257

Version

1.0.1

License

EUPL

Maintainer

Andrea Fasulo

Last Published

January 13th, 2020

Functions in R2BEAT (1.0.1)

beat.1st

Compute one stage multivariate optimal allocation.
PSU_strat

Information on Primary Stage Units (PSUs) stratification
effst

Estimator effect
design

Sampling design variables
beat.2st

Multivariate optimal allocation for different domains in two stage statified sample design
strata

Strata characteristics
allocation

Sample sizes for each stratum
errors

Precision constraints (maximum CVs) as input for Bethel allocation
rho

Intraclass correlation coefficients for self and non self representative in the strata
beat.cv

Computation of coefficient of variation (CV) for a given multivariate multiple allocation
deft_start

Starting values for the Design Effect (\(deft\))