Packaged: 2017-06-06 15:57:52 UTC; francescobartolucci

Package: MultiLCIRT
Type: Package
Title: Multidimensional latent class Item Response Theory models
Version: 2.2
Date: 2013-01-27
Author: Francesco Bartolucci, Silvia Bacci, Michela Gnaldi - University
of Perugia (IT)
Maintainer: Francesco Bartolucci <bart@stat.unipg.it>
Description: This package provides a flexible 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: MASS
Packaged: 2013-01-28 14:13:27 UTC; francesco
Repository: CRAN
Date/Publication: 2013-01-28 17:28:35

Package: MultiLCIRT
Type: Package
Title: Multidimensional latent class Item Response Theory models
Version: 2.3
Date: 2013-03-02
Author: Francesco Bartolucci, Silvia Bacci, Michela Gnaldi - University
of Perugia (IT)
Maintainer: Francesco Bartolucci <bart@stat.unipg.it>
Description: This package provides a flexible 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: MASS
Packaged: 2013-03-03 14:58:14 UTC; francescobartolucci
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-03-03 16:53:52

Package: MultiLCIRT
Type: Package
Title: Multidimensional latent class Item Response Theory models
Version: 2.4
Date: 2013-04-12
Author: Francesco Bartolucci, Silvia Bacci, Michela Gnaldi - University
of Perugia (IT)
Maintainer: Francesco Bartolucci <bart@stat.unipg.it>
Description: This package provides a flexible 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: MASS
Packaged: 2013-04-13 09:47:29 UTC; francescobartolucci
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-04-13 12:54:01