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: 2026-10-08 10:58:25 UTC; root
Author: Gunther Schauberger [aut, cre]
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libx11-dev
Repository: https://schaubert.r-universe.dev
Date/Publication: 2026-09-08 14:39:10 UTC
RemoteUrl: https://github.com/cran/GPCMlasso
RemoteRef: HEAD
RemoteSha: 4f881e89aa3fa61736af8c5083d24d9083d8e635