Package: GPCMlasso
Type: Package
Title: Regularized Explanatory Generalized Partial Credit Models
Version: 0.2-0
Date: 2026-09-07
Authors@R: person(given = "Gunther",
                      family = "Schauberger",
                      role = c("aut", "cre"),
                      email = "gunther.schauberger@tum.de")
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>
Description: Fits explanatory generalized partial credit models and related ordinal item response models with global and item-specific covariate effects. Penalized marginal maximum likelihood estimation is used for variable selection, detection of differential item functioning, and clustering of item-specific covariate effects by fusion penalties. The package extends the regularization approach for differential item functioning in generalized partial credit models proposed by Schauberger and Mair (2020) <doi:10.3758/s13428-019-01224-2>.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4), TeachingDemos, cubature, caret, statmod,
        mvtnorm, mirt, methods
Depends: ltm
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-09-07 14:12:24 UTC; ge29weh
Author: Gunther Schauberger [aut, cre]
Repository: CRAN
Date/Publication: 2026-09-08 11:10:03 UTC
