CRAN/E | SamplingStrata

SamplingStrata

Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys

Installation

About

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. M.Ballin, G.Barcaroli (2020) "R package SamplingStrata: new developments and extension to Spatial Sampling".

Citation SamplingStrata citation info
barcaroli.github.io/SamplingStrata/
github.com/barcaroli/SamplingStrata/
Bug report File report

Key Metrics

Version 1.5-4
R ≥ 3.5.0
Published 2022-11-15 386 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks SamplingStrata results

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Last 30 days 391 +9%
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Last 365 days 5.617 -22%

Maintainer

Maintainer

Giulio Barcaroli

gbarcaroli@gmail.com

Authors

Giulio Barcaroli
Marco Ballin
Hanjo Odendaal
Daniela Pagliuca
Egon Willighagen
Diego Zardetto

Material

NEWS
Reference manual
Package source

In Views

OfficialStatistics

Vignettes

Optimization of sampling strata with the SamplingStrata package
Use of models in SamplingStrata
Spatial sampling with SamplingStrata

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SamplingStrata archive

Depends

R ≥ 3.5.0
memoise
doParallel
pbapply
SamplingBigData
glue
methods

Suggests

knitr
rmarkdown
formattable