MLCIRTwithin: Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality (original) (raw)
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: | 2.1.2 |
|---|---|
| Depends: | R (≥ 2.0.0), MASS, limSolve, MultiLCIRT |
| Published: | 2025-06-28 |
| DOI: | 10.32614/CRAN.package.MLCIRTwithin |
| Author: | Francesco Bartolucci [aut, cre], Silvia Bacci [aut] |
| Maintainer: | Francesco Bartolucci <francesco.bartolucci at unipg.it> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| In views: | MissingData, Psychometrics |
| CRAN checks: | MLCIRTwithin results |
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