emIRT: EM Algorithms for Estimating Item Response Theory Models

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 <[email protected]>, James Lo <[email protected]>, Jonathan Olmsted <[email protected]>
MaintainerJames Lo <[email protected]>
LicenseGPL (>= 3)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the emIRT package in your browser

Any scripts or data that you put into this service are public.

emIRT documentation built on Feb. 4, 2020, 9:07 a.m.