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sitepickR  

Two-Level Sample Selection with Optimal Site Replacement
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sitepickR", "0.0.1")



Attach the package and use:
library("sitepickR")
Maintained by
Elena Badillo-Goicoechea
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-05
Latest Update: 2022-12-05
Description:
Carries out a two-level sample selection where the possibility of an initially selected site not wanting to participate is anticipated, and the site is optimally replaced. The procedure aims to reduce bias (and/or loss of external validity) with respect to the target population. In selecting units and sub-units, 'sitepickR' uses the cube method developed by 'Deville & Tillé', (2004) <http://www.math.helsinki.fi/msm/banocoss/Deville_Tille_2004.pdf> and described in Tillé (2011) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2011002/article/11609-eng.pdf?st=5-sx8Q8n>. The cube method is a probability sampling method that is designed to satisfy criteria for balance between the sample and the population. Recent research has shown that this method performs well in simulations for studies of educational programs (see Fay & Olsen (2021, under review). To implement the cube method, 'sitepickR' uses the sampling R package <https://cran.r-project.org/package=sampling>. To implement statistical matching, 'sitepickR' uses the 'MatchIt' R package <https://cran.r-project.org/package=MatchIt>.
How to cite:
Elena Badillo-Goicoechea (2022). sitepickR: Two-Level Sample Selection with Optimal Site Replacement. R package version 0.0.1, https://cran.r-project.org/web/packages/sitepickR. Accessed 29 Oct. 2026.
Previous versions and publish date:
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Complete documentation for sitepickR
Functions, R codes and Examples using the sitepickR R package
Some associated functions: getSummary . matchBalance . matchCount . matchFreq . prepDF . rawCCD . selectMatch . sitepickR-package . subUnitBalance . unitLovePlot . 
Some associated R codes: balanceDiagnostics.R . data.R . globals.R . prepDF.R . selectMatch.R . sitepickR-package.R . sitepickR_diagnostics.R .  Full sitepickR package functions and examples
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