MLCIRTwithin: Latent Class Item Response Theory Models Under 'Within-Item Multi-Dimensionality'

Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of within-item multi-dimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses and for different item parameterizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights may be included in the new version.

Version: 1.0
Depends: R (≥ 2.0.0), MASS, limSolve, MultiLCIRT
Published: 2015-06-03
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
CRAN checks: MLCIRTwithin results

Downloads:

Reference manual: MLCIRTwithin.pdf
Package source: MLCIRTwithin_1.0.tar.gz
Windows binaries: r-devel: MLCIRTwithin_1.0.zip, r-release: MLCIRTwithin_1.0.zip, r-oldrel: MLCIRTwithin_1.0.zip
OS X Snow Leopard binaries: r-release: MLCIRTwithin_1.0.tgz, r-oldrel: not available
OS X Mavericks binaries: r-release: MLCIRTwithin_1.0.tgz