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Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of multidimensionality 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 (since 2.1).
| Version: | 2.11 |
| Depends: | R (≥ 2.0.0), MASS, limSolve |
| Published: | 2017-06-06 |
| Author: | Francesco Bartolucci, Silvia Bacci, Michela Gnaldi - University of Perugia (IT) |
| Maintainer: | Francesco Bartolucci <bart at stat.unipg.it> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| In views: | Psychometrics |
| CRAN checks: | MultiLCIRT results |
| Reference manual: | MultiLCIRT.pdf |
| Package source: | MultiLCIRT_2.11.tar.gz |
| Windows binaries: | r-devel: MultiLCIRT_2.11.zip, r-release: MultiLCIRT_2.11.zip, r-oldrel: MultiLCIRT_2.11.zip |
| macOS binaries: | r-release (arm64): MultiLCIRT_2.11.tgz, r-oldrel (arm64): MultiLCIRT_2.11.tgz, r-release (x86_64): MultiLCIRT_2.11.tgz, r-oldrel (x86_64): MultiLCIRT_2.11.tgz |
| Old sources: | MultiLCIRT archive |
| Reverse depends: | MLCIRTwithin |
| Reverse imports: | LMest |
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