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-4.5)repsd_1.0.1.zip(r-4.4)repsd_1.0.1.zip(r-4.3)
repsd_1.0.1.tgz(r-4.4-any)repsd_1.0.1.tgz(r-4.3-any)
repsd_1.0.1.tar.gz(r-4.5-noble)repsd_1.0.1.tar.gz(r-4.4-noble)
repsd_1.0.1.tgz(r-4.4-emscripten)repsd_1.0.1.tgz(r-4.3-emscripten)
repsd.pdf |repsd.html
repsd/json (API)
NEWS

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

Peer review:

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

Datasets:

On CRAN:

2.70 score 1 scripts 608 downloads 5 exports 11 dependencies

Last updated 2 years agofrom:59817d9229. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winOKNov 04 2024
R-4.5-linuxOKNov 04 2024
R-4.4-winOKNov 04 2024
R-4.4-macOKNov 04 2024
R-4.3-winOKNov 04 2024
R-4.3-macOKNov 04 2024

Exports:estimate_impactnull_repsdplot_repsdrepsdrepsd_pval

Dependencies:clicrayongluehmslifecyclepkgconfigprettyunitsprogressR6rlangvctrs