stratallo: Optimum Sample Allocation in Stratified Sampling

Functions in this package provide solution to classical problem in survey methodology - an optimum sample allocation in stratified sampling. In this context, the optimum allocation is in the classical Tschuprow-Neyman's sense and it satisfies additional lower or upper bounds restrictions imposed on sample sizes in strata. There are few different algorithms available to use, and one them is based on popular sample allocation method that applies Neyman allocation to recursively reduced set of strata. This package also provides the function that computes a solution to the minimum cost allocation problem, which is a minor modification of the classical optimum sample allocation. This problem lies in the determination of a vector of strata sample sizes that minimizes total cost of the survey, under assumed fixed level of the stratified estimator's variance. As in the case of the classical optimum allocation, the problem of minimum cost allocation can be complemented by imposing upper-bounds constraints on sample sizes in strata.

Version: 2.2.1
Depends: R (≥ 2.10)
Imports: checkmate, lifecycle
Suggests: rmarkdown, knitr, spelling, testthat (≥ 3.0.0)
Published: 2023-11-26
DOI: 10.32614/CRAN.package.stratallo
Author: Wojciech Wójciak [aut, cre], Jacek Wesołowski [sad], Robert Wieczorkowski [ctb]
Maintainer: Wojciech Wójciak <wojciech.wojciak at>
License: GPL-2
Copyright: Wojciech Wójciak
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: stratallo results


Reference manual: stratallo.pdf
Vignettes: Optimum Sample Allocation in Stratified Sampling with 'stratallo'


Package source: stratallo_2.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): stratallo_2.2.1.tgz, r-oldrel (arm64): stratallo_2.2.1.tgz, r-release (x86_64): stratallo_2.2.1.tgz, r-oldrel (x86_64): stratallo_2.2.1.tgz
Old sources: stratallo archive


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