GPCMlasso (0.1-4)

0 users

Differential Item Functioning in Generalized Partial Credit Models.

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.

Maintainer: Gunther Schauberger
Author(s): Gunther Schauberger

License: GPL (>= 2)

Uses: caret, cubature, ltm, mirt, mvtnorm, Rcpp, statmod, TeachingDemos
Reverse enhances: mnlfa

Released 8 months ago.

3 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of GPCMlasso yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for GPCMlasso on google, google scholar, r-help, r-devel.

Visit GPCMlasso on R Graphical Manual.