SamplingStrata: Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys

In the field of stratified sampling design, this package offers an approach for the determination of the best stratification of a sampling frame, the one that ensures the minimum sample cost under the condition to satisfy precision constraints in a multivariate and multidomain case. This approach is based on the use of the genetic algorithm: each solution (i.e. a particular partition in strata of the sampling frame) is considered as an individual in a population; the fitness of all individuals is evaluated applying the Bethel-Chromy algorithm to calculate the sampling size satisfying precision constraints on the target estimates. Functions in the package allows to: (a) analyse the obtained results of the optimisation step; (b) assign the new strata labels to the sampling frame; (c) select a sample from the new frame accordingly to the best allocation. Functions for the execution of the genetic algorithm are a modified version of the functions in the 'genalg' package.

Version: 1.2
Depends: R (≥ 2.15.0), memoise
Published: 2018-02-18
Author: Giulio Barcaroli, Marco Ballin, Daniela Pagliuca, Egon Willighagen, Diego Zardetto
Maintainer: Giulio Barcaroli <gbarcaroli at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: SamplingStrata citation info
Materials: NEWS
In views: OfficialStatistics
CRAN checks: SamplingStrata results


Reference manual: SamplingStrata.pdf
Vignettes: Optimization of sampling strata with the SamplingStrata package
Package source: SamplingStrata_1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: SamplingStrata_1.2.tgz, r-oldrel: SamplingStrata_1.2.tgz
Old sources: SamplingStrata archive


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