MLCIRTwithin: Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality

Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of within-item multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses and for different item parametrizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights may be included in the new version together with possibility of constraints on all model parameters.

Version: 2.1.1
Depends: R (≥ 2.0.0), MASS, limSolve, MultiLCIRT
Published: 2019-09-30
DOI: 10.32614/CRAN.package.MLCIRTwithin
Author: Francesco Bartolucci, Silvia Bacci - University of Perugia (IT)
Maintainer: Francesco Bartolucci <bart at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: MissingData, Psychometrics
CRAN checks: MLCIRTwithin results


Reference manual: MLCIRTwithin.pdf


Package source: MLCIRTwithin_2.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MLCIRTwithin_2.1.1.tgz, r-oldrel (arm64): MLCIRTwithin_2.1.1.tgz, r-release (x86_64): MLCIRTwithin_2.1.1.tgz, r-oldrel (x86_64): MLCIRTwithin_2.1.1.tgz
Old sources: MLCIRTwithin archive

Reverse dependencies:

Reverse suggests: dextergui


Please use the canonical form to link to this page.