Package: SamplingStrata
Type: Package
Title: Optimal Stratification of Sampling Frames for Multipurpose
Sampling Surveys
Version: 1.0-4
Date: 2015-08-24
Author: Giulio Barcaroli, Daniela Pagliuca and Egon Willighagen
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)
Packaged: 2015-08-25 11:55:56 UTC; UTENTE
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-08-25 16:31:27

Package: SamplingStrata
Type: Package
Title: Optimal stratification of sampling frames for multipurpose
sampling surveys
Version: 1.0
Date: 2012-11-30
Author: Giulio Barcaroli
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.  It is also possible
to automatically generate the most important input to the
optimisation step, i.e.  the "strata" dataframe, containing
information (means and standard deviations) regarding the
distributions of the target variables in the different strata,
using the sampling frame or using data from previous rounds of
the same survey.  As auxiliary variables that concur to the
stratification can be only of the categorical type, the package
offers a function that allows to transform continuous variables
into categorical ordinal ones by applying a k-means univariate
clustering method. Functions for the execution of the genetic
algorithm are a modified version of the functions in the
"genalg" package.
License: GPL
LazyLoad: yes
Depends: R (>= 2.10.0)
Packaged: 2012-12-04 12:37:56 UTC; barcarol
Repository: CRAN
Date/Publication: 2012-12-04 17:13:37