Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) models. The current implementation includes IRT models for binary and ordinal responses, along with dynamic and hierarchical IRT models with binary responses. The latter two models are derived and implemented using variational EM. Subsequent edits also include variational network and text scaling models.
| Version: | 0.0.11 |
| Depends: | R (≥ 2.10), pscl (≥ 1.0.0), Rcpp (≥ 0.10.6) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2020-02-04 |
| Author: | Kosuke Imai, James Lo, Jonathan Olmsted |
| Maintainer: | James Lo <lojames at usc.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| In views: | Psychometrics |
| CRAN checks: | emIRT results |
| Reference manual: | emIRT.pdf |
| Package source: | emIRT_0.0.11.tar.gz |
| Windows binaries: | r-devel: emIRT_0.0.11.zip, r-release: emIRT_0.0.11.zip, r-oldrel: emIRT_0.0.11.zip |
| macOS binaries: | r-release: emIRT_0.0.11.tgz, r-oldrel: emIRT_0.0.11.tgz |
| Old sources: | emIRT archive |
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