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
Depends: R (≥ 2.0.0), MASS, limSolve, MultiLCIRT
Published: 2016-08-06
Author: Francesco Bartolucci, Silvia Bacci - University of Perugia (IT)
Maintainer: Francesco Bartolucci <bart at stat.unipg.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: Psychometrics
CRAN checks: MLCIRTwithin results

Downloads:

Reference manual: MLCIRTwithin.pdf
Package source: MLCIRTwithin_2.1.tar.gz
Windows binaries: r-devel: MLCIRTwithin_2.1.zip, r-release: MLCIRTwithin_2.1.zip, r-oldrel: MLCIRTwithin_2.1.zip
OS X El Capitan binaries: r-release: MLCIRTwithin_2.1.tgz
OS X Mavericks binaries: r-oldrel: MLCIRTwithin_2.1.tgz
Old sources: MLCIRTwithin archive

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