Package: MLCIRTwithin
Type: Package
Title: Latent Class Item Response Theory (LC-IRT) Models under
Within-Item Multidimensionality
Version: 1.1
Date: 2016-02-03
Author: Francesco Bartolucci, Silvia Bacci - University of Perugia (IT)
Maintainer: Francesco Bartolucci <bart@stat.unipg.it>
Description: 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.
License: GPL (>= 2)
Depends: R (>= 2.0.0), MASS, limSolve, MultiLCIRT
NeedsCompilation: no
Packaged: 2016-02-03 17:55:44 UTC; francesco
Repository: CRAN
Date/Publication: 2016-02-03 22:49:40
Package: LMest
Type: Package
Title: Latent Markov Models with and without Covariates
Version: 2.2
Date: 2016-02-25
Author: Francesco Bartolucci, Silvia Pandolfi - University of Perugia (IT)
Maintainer: Francesco Bartolucci <bart@stat.unipg.it>
Description: Fit certain versions of the Latent Markov model for longitudinal categorical data.
License: GPL (>= 2)
Depends: R (>= 2.0.0), MASS, MultiLCIRT, stats
Packaged: 2016-02-25 15:06:44 UTC; utente
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2016-02-25 18:03:20
providing 
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