MultiLCIRT: Multidimensional Latent Class Item Response Theory Models

Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of multidimensionality 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 (since 2.1).

Version:	2.11
Depends:	R (≥ 2.0.0), MASS, limSolve
Published:	2017-06-06
Author:	Francesco Bartolucci, Silvia Bacci, Michela Gnaldi - University of Perugia (IT)
Maintainer:	Francesco Bartolucci <bart at stat.unipg.it>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
In views:	Psychometrics
CRAN checks:	MultiLCIRT results

Documentation:

Reference manual:

MultiLCIRT.pdf

Downloads:

Package source:	MultiLCIRT_2.11.tar.gz
Windows binaries:	r-devel: MultiLCIRT_2.11.zip, r-release: MultiLCIRT_2.11.zip, r-oldrel: MultiLCIRT_2.11.zip
macOS binaries:	r-release (arm64): MultiLCIRT_2.11.tgz, r-oldrel (arm64): MultiLCIRT_2.11.tgz, r-release (x86_64): MultiLCIRT_2.11.tgz, r-oldrel (x86_64): MultiLCIRT_2.11.tgz
Old sources:	MultiLCIRT archive

Reverse dependencies:

Reverse depends:	MLCIRTwithin
Reverse imports:	LMest

Linking:

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