stratallo: Optimum Sample Allocation in Stratified Sampling Schemes

Functions in this package provide solution to classical problem in survey methodology - an optimum sample allocation in stratified sampling schemes. In this context, the optimal allocation is in the classical Tschuprov-Neyman's sense and it satisfies additional either 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 sample size allocation problem, which is a minor modification of the classical optimium sample allocation. This problems lies in the determination of a vector of strata sample sizes that minimizes total sample size, under assumed fixed level of the pi-estimator's variance. As in the case of the classical optimal allocation, the problem of minimum sample size allocation can be complemented by imposing upper bounds constraints on sample sizes in strata.

Version: 2.0.1
Imports: checkmate, lifecycle
Suggests: rmarkdown, knitr, spelling, testthat (≥ 3.0.0)
Published: 2022-04-13
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 Schemes with Stratallo Package


Package source: stratallo_2.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): stratallo_2.0.1.tgz, r-oldrel (arm64): stratallo_2.0.1.tgz, r-release (x86_64): stratallo_2.0.1.tgz, r-oldrel (x86_64): stratallo_2.0.1.tgz
Old sources: stratallo archive


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