CRAN/E | sitepickR

sitepickR

Two-Level Sample Selection with Optimal Site Replacement

Installation

About

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) and described in Tillé (2011) . 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 . To implement statistical matching, 'sitepickR' uses the 'MatchIt' R package .

Key Metrics

Version 0.0.1
R ≥ 2.10
Published 2022-12-05 669 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks sitepickR results

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Maintainer

Maintainer

Elena Badillo-Goicoechea

Authors

Elena Badillo-Goicoechea

aut / cre

Robert Olsen

aut

Elizabeth Stuart

aut

Material

README
Reference manual
Package source

Vignettes

sitepickR-demo

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 2.10

Imports

MatchIt
sampling
dplyr
ggplot2
reshape2
data.table
stats
stringr
tidyr
magrittr
tidyselect
scales

Suggests

knitr
rmarkdown
devtools