Package: SamplingStrata
Type: Package
Title: Optimal stratification of sampling frames for multipurpose
sampling surveys
Version: 0.9-2
Date: 2012-1-31
Author: Giulio Barcaroli
Maintainer: Giulio Barcaroli <barcarol@istat.it>
Description: In the field of sampling design (in particular for
stratified sampling), this package offers an approach for the
determination of the best stratification of a sampling frame,
the one that ensures the minimum sample size 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 by
calculating (using the Bethel-Chromy algorithm) the sampling
size satisfying accuracy 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.  There is also a
function that allows to build the most important input to the
optimisation step, i.e. the "strata" dataframe, containing
information (means and standard errors) 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 ("var.bin") 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), sampling
Packaged: 2012-01-24 14:17:12 UTC; barcarol
Repository: CRAN
Date/Publication: 2012-01-24 16:52:39

Package: SamplingStrata
Type: Package
Title: Optimal stratification of sampling frames for multipurpose
sampling surveys
Version: 0.9-3
Date: 2012-1-31
Author: Giulio Barcaroli
Maintainer: Giulio Barcaroli <barcarol@istat.it>
Description: In the field of sampling design (in particular for
stratified sampling), this package offers an approach for the
determination of the best stratification of a sampling frame,
the one that ensures the minimum sample size 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 by
calculating (using the Bethel-Chromy algorithm) the sampling
size satisfying accuracy 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.  There is also a
function that allows to build the most important input to the
optimisation step, i.e. the "strata" dataframe, containing
information (means and standard errors) 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 ("var.bin") 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: 2012-05-23 09:32:30 UTC; barcarol
Repository: CRAN
Date/Publication: 2012-05-23 16:21:03