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 |
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