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.

Install the latest version of this package by entering the following in R:
install.packages("SamplingStrata")
AuthorGiulio Barcaroli, Daniela Pagliuca, Egon Willighagen, Diego Zardetto
Date of publication2016-01-13 13:54:05
MaintainerGiulio Barcaroli <barcarol@istat.it>
LicenseGPL (>= 2)
Version1.1

View on CRAN

Functions

bethel Man page
buildStrataDF Man page
checkInput Man page
errors Man page
evalSolution Man page
optimizeStrata Man page
plotSamprate Man page
selectSample Man page
strata Man page
swisserrors Man page
swissframe Man page
swissmunicipalities Man page
swissstrata Man page
tuneParameters Man page
updateFrame Man page
updateStrata Man page
var.bin Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.