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
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:	MissingData, Psychometrics
CRAN checks:	MLCIRTwithin results

Documentation:

Reference manual:

MLCIRTwithin.pdf

Downloads:

Package source:	MLCIRTwithin_2.1.1.tar.gz
Windows binaries:	r-devel: MLCIRTwithin_2.1.1.zip, r-release: MLCIRTwithin_2.1.1.zip, r-oldrel: MLCIRTwithin_2.1.1.zip
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

Linking:

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