GPCMlasso: Differential Item Functioning in Generalized Partial Credit Models

Provides a function to detect Differential Item Functioning (DIF) in Generalized Partial Credit Models (GPCM) and special cases of the GPCM. 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.

Package details

AuthorGunther Schauberger
MaintainerGunther Schauberger <[email protected]>
LicenseGPL (>= 2)
Version0.1-3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GPCMlasso")

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GPCMlasso documentation built on Feb. 21, 2019, 4:33 p.m.