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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.
Getting started
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Package details |
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| Author | Francesco Bartolucci, Silvia Bacci - University of Perugia (IT) |
| Maintainer | Francesco Bartolucci <bart@stat.unipg.it> |
| License | GPL (>= 2) |
| Version | 2.1.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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