EM Algorithms for Estimating Item Response Theory Models
Two-parameter Binary IRT estimation via EM
Parametric bootstrap of EM Standard Errirs
Convert Roll Call Matrix Format
Dynamic IRT estimation via Variational Inference
Generate Starts for binIRT
Hierarchichal IRT estimation via Variational Inference
Generate Priors for binIRT
Network IRT estimation via EM
Two-parameter Ordinal IRT estimation via EM
Poisson IRT estimation via EM
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>.