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: | 
Psychometrics | 
| CRAN checks: | 
MLCIRTwithin results | 
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=MLCIRTwithin
to link to this page.