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).

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Description file content

Package
MultiLCIRT
Type
Package
Title
Multidimensional Latent Class Item Response Theory Models
Version
2.11
Date
2017-05-19
Author
Francesco Bartolucci, Silvia Bacci, Michela Gnaldi - University of Perugia (IT)
Maintainer
Francesco Bartolucci
Description
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).
License
GPL (>= 2)
Depends
R (>= 2.0.0), MASS, limSolve
NeedsCompilation
yes
Packaged
2017-06-06 15:57:52 UTC; francescobartolucci
Repository
CRAN
Date/Publication
2017-06-06 17:10:33 UTC

install.packages('MultiLCIRT')

2.11

a year ago

Francesco Bartolucci

GPL (>= 2)

Depends on

R (>= 2.0.0), MASS, limSolve

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