Other packages > Find by keyword >

repsd  

Root Expected Proportion Squared Difference for Detecting DIF
View on CRAN: Click here


Download and install repsd package within the R console
Install from CRAN:
install.packages("repsd")

Install from Github:
library("remotes")
install_github("cran/repsd")

Install by package version:
library("remotes")
install_version("repsd", "1.0.1")



Attach the package and use:
library("repsd")
Maintained by
Anthony William Raborn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-23
Latest Update: 2023-04-18
Description:
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.
How to cite:
Anthony William Raborn (2023). repsd: Root Expected Proportion Squared Difference for Detecting DIF. R package version 1.0.1, https://cran.r-project.org/web/packages/repsd. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0.0 (2023-03-23 11:30)
Other packages that cited repsd R package
View repsd citation profile
Other R packages that repsd depends, imports, suggests or enhances
Complete documentation for repsd
Functions, R codes and Examples using the repsd R package
Some associated functions: estimate_impact . null_repsd . plot_repsd . repsd . repsd_pval . timmsData . timmsDiffic . timmsDiscrim . 
Some associated R codes: data.R . estimate_impact.R . null_repsd.R . plot_repsd.R . repsd.R . repsd_pval.R .  Full repsd package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA