Package: lordif 0.4.2

lordif: Logistic Ordinal Regression Differential Item Functioning using IRT

Performs analysis of Differential Item Functioning (DIF) for dichotomous and polytomous items using an iterative hybrid of ordinal logistic regression and item response theory (IRT) according to Choi, Gibbons, and Crane (2011) <doi:10.18637/jss.v039.i08>.

Authors:Seung W. Choi [aut, cre], Laura E. Gibbons [aut], Paul K. Crane [aut]

lordif_0.4.2.tar.gz
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lordif_0.4.2.tgz(r-4.4-any)
lordif_0.4.2.tar.gz(r-4.5-noble)lordif_0.4.2.tar.gz(r-4.4-noble)
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lordif.pdf |lordif.html✨
lordif/json (API)

# Install 'lordif' in R:

install.packages('lordif', repos = c('https://choi-phd.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/choi-phd/lordif/issues

Datasets:

Anxiety - A Measure of Anxiety

On CRAN:

5.02 score 1 stars 1 packages 35 scripts 455 downloads 54 mentions 19 exports 121 dependencies

Last updated 6 days agofrom:be725a46b2. Checks:5 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 09 2025
R-4.5-win	OK	Jan 09 2025
R-4.5-linux	OK	Jan 09 2025
R-4.4-win	OK	Jan 09 2025
R-4.4-mac	OK	Jan 09 2025

Exports:calcprob calctheta collapse DFIT equate extract getcutoff lordif montecarlo permute plot.lordif plot.lordif.MC probgpcm probgrm recode rundif runolr separate tcc

Dependencies:audio backports base64enc beepr brio bslib cachem callr checkmate cli cluster codetools colorspace crayon curl data.table dcurver Deriv desc diffobj digest doSNOW dplyr evaluate fansi farver fastmap fontawesome foreach foreign Formula fs future future.apply generics ggplot2 globals glue GPArotation gridExtra gtable highr Hmisc htmlTable htmltools htmlwidgets isoband iterators jquerylib jsonlite knitr labeling lattice lifecycle listenv magrittr MASS Matrix MatrixModels memoise mgcv mime mirt multcomp munsell mvtnorm nlme nnet parallelly pbapply permute pillar pkgbuild pkgconfig pkgload polspline praise processx progressr ps quantreg R.methodsS3 R.oo R.utils R6 rappdirs RColorBrewer Rcpp RcppArmadillo rlang rmarkdown rms rpart rprojroot RPushbullet rstudioapi sandwich sass scales sessioninfo SimDesign snow SparseM stringi stringr survival testthat TH.data tibble tidyselect tinytex utf8 vctrs vegan viridis viridisLite waldo withr xfun yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Logistic Ordinal Regression Differential Item Functioning using IRT	lordif-package
A Measure of Anxiety	Anxiety
calculates item response probabilities	calcprob
calculates EAP theta estimates and associated standard errors	calctheta
collapses response categories	collapse
calculates DFIT statistics	DFIT
performs Stocking-Lord Equating	equate
extracts IRT item parameters	extract
determines a cutoff threshold	getcutoff
performs Logistic Ordinal Regression Differential Item Functioning using IRT	lordif
performs Monte Carlo simulations to generate empirical distributions	montecarlo
performs permutation test for empirical cutoff thresholds	permute
Plot method for lordif class	plot.lordif
Plot method for Monte Carlo simulation output	plot.lordif.MC
calculates item response probabilities according to GPCM	probgpcm
calculates item response probabilities according to GRM	probgrm
recodes item responses	recode
runs ordinal logistic regression DIF	rundif
runs ordinal logistic regression models	runolr
splits item response vectors of DIF items by group	separate
computes a test characteristic curve (tcc)	tcc