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
Insights
Last 30 days
This package has been downloaded 5,008 times in the last 30 days. A solid achievement! Enough downloads to get noticed at department meetings. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 256 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 46,087 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Feb 11, 2025 with 455 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports1 package
- Enhances1 package
- Suggests11 packages
- Linking To2 packages
- Reverse Imports4 packages
- Reverse Suggests6 packages