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kosukeimai committed Feb 14, 2022
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Package: emIRT
Type: Package
Title: EM Algorithms for Estimating Item Response Theory Models
Version: 0.0.12
Date: 2021-05-12
Version: 0.0.13
Date: 2022-02-14
Author: Kosuke Imai <[email protected]>, James Lo <[email protected]>, Jonathan Olmsted <[email protected]>
Maintainer: James Lo <[email protected]>
Description: 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.
Description: Various Expectation-Maximization (EM) algorithms are implemented for item
response theory (IRT) models. The package includes IRT models for binary and ordinal
responses, along with dynamic and hierarchical IRT models with binary responses. The
latter two models are fitted using variational EM. The package also includes
variational network and text scaling models. The algorithms are described in Imai, Lo,
and Olmsted (2016) <DOI:10.1017/S000305541600037X>.
License: GPL (>= 3)
Depends: R (>= 2.10), pscl (>= 1.0.0), Rcpp (>= 0.10.6)
Suggests: MCMCpack
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