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. M.Ballin, G.Barcaroli (2020) <doi:10.48550/arXiv.2004.09366> "R package SamplingStrata: new developments and extension to Spatial Sampling".
Version: 1.5-4 Depends: R (≥ 3.5.0), memoise, doParallel, pbapply, SamplingBigData, glue, methods Suggests: knitr, rmarkdown, formattable Published: 2022-11-15 DOI: 10.32614/CRAN.package.SamplingStrata Author: Giulio Barcaroli, Marco Ballin, Hanjo Odendaal, Daniela Pagliuca, Egon Willighagen, Diego Zardetto Maintainer: Giulio Barcaroli <gbarcaroli at gmail.com> BugReports: https://github.com/barcaroli/SamplingStrata/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://barcaroli.github.io/SamplingStrata/, https://github.com/barcaroli/SamplingStrata/ NeedsCompilation: no Citation: SamplingStrata citation info Materials: NEWS In views: OfficialStatistics CRAN checks: SamplingStrata results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=SamplingStrata to link to this page.
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