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 doi:10.1177/0146621697211001, Adams, Wilson and Wu, 1997 doi:10.3102/10769986022001047, Formann, 1982 doi:10.1002/bimj.4710240209, Formann, 1992 doi:10.1080/01621459.1992.10475229.
- Version4.2-21
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- TAM citation info
- Last release02/19/2024
Documentation
Team
Alexander Robitzsch
MaintainerShow author detailsThomas Kiefer
Show author detailsRolesAuthorMargaret Wu
Show author detailsRolesAuthor
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- Depends1 package
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- Enhances1 package
- Suggests11 packages
- Linking To2 packages
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