CRAN

GPCMlasso 0.1-4

Differential Item Functioning in Generalized Partial Credit Models

Released Apr 2, 2019 by Gunther Schauberger

This package cannot yet be used with Renjin it depends on other packages which are not available: caret 6.0-84

Dependencies

caret 6.0-84 TeachingDemos 2.10 mirt 1.30 RcppArmadillo 0.9.400.2.0 mvtnorm 1.0-10 ltm 1.1-1 cubature 2.0.3 statmod 1.4.30 Rcpp

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) . 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.

Source

R
C
C++

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