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.
|Depends:||R (≥ 2.15.0), memoise|
|Author:||Giulio Barcaroli, Daniela Pagliuca, Egon Willighagen, Diego Zardetto|
|Maintainer:||Giulio Barcaroli <barcarol at istat.it>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|Citation:||SamplingStrata citation info|
|CRAN checks:||SamplingStrata results|
Optimization of sampling strata with the SamplingStrata package
|Windows binaries:||r-devel: SamplingStrata_1.1.zip, r-release: SamplingStrata_1.1.zip, r-oldrel: SamplingStrata_1.1.zip|
|OS X Mavericks binaries:||r-release: SamplingStrata_1.1.tgz, r-oldrel: SamplingStrata_1.1.tgz|
|Old sources:||SamplingStrata archive|
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