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: 1.0-2
Depends: R (≥ 2.15.0)
Published: 2014-03-04
Author: Giulio Barcaroli, Daniela Pagliuca and Egon Willighagen
Maintainer: Giulio Barcaroli <barcarol at istat.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
In views: OfficialStatistics
CRAN checks: SamplingStrata results

Downloads:

Reference manual: SamplingStrata.pdf
Vignettes: Optimization of sampling strata with the SamplingStrata package
Package source: SamplingStrata_1.0-2.tar.gz
Windows binaries: r-devel: SamplingStrata_1.0-2.zip, r-release: SamplingStrata_1.0-2.zip, r-oldrel: SamplingStrata_1.0-2.zip
OS X Snow Leopard binaries: r-release: SamplingStrata_1.0-2.tgz, r-oldrel: SamplingStrata_1.0-2.tgz
OS X Mavericks binaries: r-release: SamplingStrata_1.0-2.tgz
Old sources: SamplingStrata archive