TAM

Author: Thomas Kiefer, Alexander Robitzsch, & Margeret Wu
Contact: https://cran.r-project.org/web/packages/TAM
Description: Includes marginal and joint maximum likelihood estimation of uni- and multidimensional item response models (Rasch, 2PL, 3PL, Generalized Partial Credit, Multi Facets, Nominal Item Response, Structured Latent Class Analysis, Mixture Distribution IRT Models, Located Latent Class Models). Latent regression models and plausible value imputation are also supported.
Analyses: Cognitive Diagnostic Models; Factor/Latent Structure; Latent Class Models; Simulation/Resampling
System Requirements: Windows, Mac OS, & Linux
Measurement Model: IRT/Rasch
License Type: Open-Source (R)
Documentation: User manual in pdf