TAM
Test Analysis Modules
Includes marginal maximum likelihood estimation and joint maximum likelihood estimation for unidimensional and multidimensional item response models. The package functionality covers the Rasch model, 2PL model, 3PL model, generalized partial credit model, multi-faceted Rasch model, nominal item response model, structured latent class model, mixture distribution IRT models, and located latent class models. Latent regression models and plausible value imputation are also supported. For details see Adams, Wilson and Wang, 1997
- http://www.edmeasurementsurveys.com/TAM/Tutorials/
- GitHub
- https://sites.google.com/view/alexander-robitzsch/software
- TAM results
- TAM.pdf
- Version4.2-21
- R version≥ 2.15.1
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- TAM citation info
- Last release02/19/2024
Documentation
Team
Alexander Robitzsch
aut,cre
Thomas Kiefer
Show author detailsRolesAuthorMargaret Wu
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- Depends2 packages
- Imports4 packages
- Enhances1 package
- Suggests13 packages
- Linking To2 packages
- Reverse Imports4 packages
- Reverse Suggests6 packages