Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of within-item multi-dimensionality 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.
| Version: |
1.0 |
| Depends: |
R (≥ 2.0.0), MASS, limSolve, MultiLCIRT |
| Published: |
2015-06-03 |
| 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 |
| CRAN checks: |
MLCIRTwithin results |