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SamplingStrata  

Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys
View on CRAN: Click here


Download and install SamplingStrata package within the R console
Install from CRAN:
install.packages("SamplingStrata")

Install from Github:
library("remotes")
install_github("cran/SamplingStrata")

Install by package version:
library("remotes")
install_version("SamplingStrata", "1.5-4")



Attach the package and use:
library("SamplingStrata")
Maintained by
Giulio Barcaroli
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-04-29
Latest Update: 2022-11-15
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. M.Ballin, G.Barcaroli (2020) "R package SamplingStrata: new developments and extension to Spatial Sampling".
How to cite:
Giulio Barcaroli (2011). SamplingStrata: Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys. R package version 1.5-4, https://cran.r-project.org/web/packages/SamplingStrata. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.9-1 (2011-07-23 15:04), 0.9-2 (2012-01-24 17:52), 0.9-3 (2012-05-23 18:21), 0.9 (2011-04-29 13:13), 1.0-1 (2013-01-16 20:54), 1.0-2 (2014-03-04 01:20), 1.0-3 (2014-10-21 13:34), 1.0-4 (2015-08-25 16:31), 1.0 (2012-12-04 17:13), 1.1 (2016-01-13 13:54), 1.2 (2018-02-18 23:14), 1.3 (2018-10-08 00:30), 1.4-1 (2019-04-22 19:50), 1.4 (2019-01-02 20:30), 1.5-1 (2020-03-02 15:30), 1.5-2 (2022-01-07 15:02), 1.5-3 (2022-08-28 22:50), 1.5 (2020-01-23 21:40)
Other packages that cited SamplingStrata R package
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Other R packages that SamplingStrata depends, imports, suggests or enhances
Complete documentation for SamplingStrata
Functions, R codes and Examples using the SamplingStrata R package
Some associated functions: KmeansSolution . KmeansSolution2 . KmeansSolutionSpatial . adjustSize . aggStrata2 . aggStrataSpatial . assignStrataLabel . bethel . buildFrameDF . buildFrameSpatial . buildStrataDF . buildStrataDFSpatial . checkInput . computeGamma . errors . evalSolution . expected_CV . nations . optimStrata . optimizeStrata . optimizeStrata2 . optimizeStrataSpatial . plotSamprate . plotStrata2d . prepareSuggestion . procBethel . selectSample . selectSampleSpatial . selectSampleSystematic . strata . summaryStrata . swisserrors . swissframe . swissmunicipalities . swissstrata . tuneParameters . updateFrame . updateStrata . var.bin . 
Some associated R codes: KmeansSolution.R . KmeansSolution2.R . KmeansSolutionSpatial.R . adjustSize.R . aggrStrata2.R . assignStrataLabel.R . buildFrameDF.R . buildFrameSpatial.R . buildStrataDFSpatial_4.R . buildStrataDF_models_4.R . checkInput.R . computeGamma.R . expected_CV.R . onAttach.R . optimStrata.R . optimizeStrata.R . optimizeStrata2.R . optimizeStrataSpatial.R . plot.rbga.R . plotSamprate.R . plotStrata2d_new.R . prepareSuggestion.R . procBethel.R . rbga2.R . rbgaSpatial.R . rbga_PPF_GGA.R . recode.R . selectSample.R . selectSampleSpatial.R . selectSampleSytematic.R . strataGenalg.R . strataGenalg2.R . strataGenalgSpatial.R . summary.rbga.R . summaryStrata.R . updateFrame.R . var.bin.R .  Full SamplingStrata package functions and examples
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