CRAN/E | GPCMlasso

GPCMlasso

Differential Item Functioning in Generalized Partial Credit Models

Installation

About

Provides a framework to detect Differential Item Functioning (DIF) in Generalized Partial Credit Models (GPCM) and special cases of the GPCM as proposed by Schauberger and Mair (2019) doi:10.3758/s13428-019-01224-2. A joint model is set up where DIF is explicitly parametrized and penalized likelihood estimation is used for parameter selection. The big advantage of the method called GPCMlasso is that several variables can be treated simultaneously and that both continuous and categorical variables can be used to detect DIF.

Key Metrics

Version 0.1-7
Published 2024-01-23 66 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks GPCMlasso results

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Maintainer

Maintainer

Gunther Schauberger

gunther.schauberger@tum.de

Authors

Gunther Schauberger

Material

Reference manual
Package source

In Views

Psychometrics

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

GPCMlasso archive

Depends

ltm

Imports

Rcpp ≥ 0.12.4
TeachingDemos
cubature
caret
statmod
mvtnorm
mirt
methods

LinkingTo

Rcpp
RcppArmadillo

Reverse Enhances

mnlfa