Package: robustDIF 0.2.0

robustDIF: Differential Item Functioning Using Robust Scaling

Provides tools for testing differential item functioning (DIF) and differential test functioning (DTF) in two-group item response theory models. The package estimates robust scaling parameters via iteratively reweighted least squares with Tukey's bisquare loss, and supports Wald-type tests of item-level and test-level differences from robust scaling parameters. Inputs can be supplied directly from model parameter/covariance objects or extracted from fitted 'mirt' and 'lavaan' models. Methods are described in Halpin (2022) <doi:10.48550/arXiv.2207.04598>.

Authors:Peter Halpin [aut, cre], Kyle Nickodem [ctb], James Eagle [ctb]

robustDIF_0.2.0.tar.gz
robustDIF_0.2.0.zip(r-4.7)robustDIF_0.2.0.zip(r-4.6)robustDIF_0.2.0.zip(r-4.5)
robustDIF_0.2.0.tgz(r-4.6-any)robustDIF_0.2.0.tgz(r-4.5-any)
robustDIF_0.2.0.tar.gz(r-4.7-any)robustDIF_0.2.0.tar.gz(r-4.6-any)
robustDIF_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
robustDIF/json (API)

# Install 'robustDIF' in R:

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

Bug tracker:https://github.com/peterhalpin/robustdif/issues

Pkgdown/docs site:https://peterhalpin.github.io

On CRAN:

3.70 score 8 scripts 474 downloads 7 exports 78 dependencies

Last updated from:fdabf37837. Checks:7 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	WARNING	161
source / vignettes	OK	202
linux-release-x86_64	WARNING	162
macos-release-arm64	WARNING	146
macos-oldrel-arm64	WARNING	148
windows-devel	WARNING	127
windows-release	WARNING	151
windows-oldrel	WARNING	131
wasm-release	OK	120

Exports:delta_test dif_test get_model_parms rdif rho_grid vcov_y y_fun

Dependencies:audio beepr brio callr class cli clipr cluster codetools crayon dcurver Deriv desc diffobj digest dplyr e1071 evaluate fs future future.apply generics globals glue GPArotation gridExtra gtable jsonlite lattice lavaan lifecycle listenv magrittr MASS Matrix mgcv mirai mirt mnormt nanonext nlme numDeriv parallelly pbapply pbivnorm permute pillar pkgbuild pkgconfig pkgload praise processx progressr proxy ps qs2 quadprog R.methodsS3 R.oo R.utils R6 Rcpp RcppArmadillo RcppParallel rlang rprojroot sessioninfo SimDesign splines2 stringfish testthat tibble tidyselect utf8 vctrs vegan waldo withr

Help page	Topics
Registers S3 methods at load time: - print for class "rdif" - plot for class "rdif" - summary for class "rdif"	.onLoad
The R-DIF scaling function for item slopes.	a_fun
The bi-square weight function.	bsq_weight
The R-DIF scaling functions for item intercepts / thresholds.	d_fun
Wald test of differential test functioning.	delta_test
Wald tests of differential item functioning (DIF).	dif_test
Helper function used to format parameters estimates	format_pars
Extract item parameter estimates and their covariance matrix from 'lavaan'.	get_lavaan_pars
Extract item parameter estimates and their covariance matrix from 'mirt'.	get_mirt_pars
Extract and format item parameter estimates and their covariance matrix	get_model_parms
Compute starting values for 'rdif'.	get_starts
The gradient matrix of 'a_fun'.	grad_a
The gradient matrix of 'd_fun'.	grad_d
The least trimmed squares (LTS) estimate of location	lts
The bi-square psi function.	psi
The derivative of the bi-square psi function.	psi_prime
Estimate IRT scale parameters using the robust DIF procedure.	rdif
Example data set for R-DIF functions.	rdif.eg
The bi-square rho function.	rho
Compute a grid of bi-square Rho values	rho_grid
The covariance matrix of IRT scaling functions.	vcov_y
R-DIF scaling functions for item intercepts/thresholds and slopes.	y_fun

Package: robustDIF 0.2.0

robustDIF: Differential Item Functioning Using Robust Scaling

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