emIRT

Author: Kosuke Imai, James Lo, Jonathan Olmsted
Contact: https://cran.r-project.org/web/packages/emIRT/index.html
Description: 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.
Analyses: Dimensionality; Factor/Latent Structure; Simulation/Resampling
System Requirements: Windows, Mac, Linux
Measurement Model: IRT/Rasch
License Type: Open-Source (R)
Documentation: user manual, datasets