Package: SamplingStrata
Type: Package
Title: Optimal Stratification of Sampling Frames for Multipurpose
Sampling Surveys
Version: 1.1
Date: 2016-01-12
Author: Giulio Barcaroli, Daniela Pagliuca, Egon Willighagen,
Diego Zardetto
Maintainer: Giulio Barcaroli <barcarol@istat.it>
Description: 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.
License: GPL (>= 2)
LazyLoad: yes
Depends: R (>= 2.15.0), memoise
NeedsCompilation: no
Packaged: 2016-01-12 22:50:51 UTC; UTENTE
Repository: CRAN
Date/Publication: 2016-01-13 13:54:05

Package: SamplingStrata
Type: Package
Title: Optimal Stratification of Sampling Frames for Multipurpose
Sampling Surveys
Version: 1.2
Date: 2018-2-4
Author: Giulio Barcaroli, Marco Ballin, Daniela Pagliuca, Egon Willighagen,
Diego Zardetto
Maintainer: Giulio Barcaroli <gbarcaroli@gmail.com>
Description: 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.
License: GPL (>= 2)
LazyLoad: yes
Depends: R (>= 2.15.0), memoise
NeedsCompilation: no
Packaged: 2018-02-04 18:18:31 UTC; UTENTE
Repository: CRAN
Date/Publication: 2018-02-18 22:14:36 UTC