emIRT: EM Algorithms for Estimating Item Response Theory Models
Version 0.0.8

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.

Getting started

Package details

AuthorKosuke Imai <kimai@princeton.edu>, James Lo <lojames@usc.edu>, Jonathan Olmsted <jpolmsted@gmail.com>
Date of publication2017-02-14 12:14:12
MaintainerJames Lo <lojames@usc.edu>
LicenseGPL (>= 3)
Package repositoryView on CRAN
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emIRT documentation built on May 29, 2017, 7:10 p.m.