Package: repsd 1.0.1

repsd: Root Expected Proportion Squared Difference for Detecting DIF

Root Expected Proportion Squared Difference (REPSD) is a nonparametric differential item functioning (DIF) method that (a) allows practitioners to explore for DIF related to small, fine-grained focal groups of examinees, and (b) compares the focal group directly to the composite group that will be used to develop the reported test score scale. Using your provided response matrix with a column that identifies focal group membership, this package provides the REPSD values, a simulated null distribution of possible REPSD values, and the simulated p-values identifying items possibly displaying DIF without requiring enormous sample sizes.

Authors:Anne Corrine Huggins-Manley [aut], Anthony William Raborn [aut, cre]

repsd_1.0.1.tar.gz
repsd_1.0.1.zip(r-4.7-any)repsd_1.0.1.zip(r-4.6-any)repsd_1.0.1.zip(r-4.5-any)
repsd_1.0.1.tgz(r-4.6-any)repsd_1.0.1.tgz(r-4.5-any)
repsd_1.0.1.tar.gz(r-4.7-any)repsd_1.0.1.tar.gz(r-4.6-any)
repsd_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
repsd/json (API)

# Install 'repsd' in R:
install.packages('repsd', repos = c('https://anthonyraborn.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/anthonyraborn/repsd/issues

Datasets:

On CRAN:

Conda:

2.70 score 1 scripts 404 downloads 5 exports 11 dependencies

Last updated from:59817d9229. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK201
source / vignettesOK223
linux-releaseOK96
macos-releaseOK88
macos-oldrelOK118
windows-develOK71
windows-releaseOK73
windows-oldrelOK59
wasm-releaseOK83

Exports:estimate_impactnull_repsdplot_repsdrepsdrepsd_pval

Dependencies:clicrayongluehmslifecyclepkgconfigprettyunitsprogressR6rlangvctrs