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
If you use TAM and have suggestions for improvement or have found bugs, please email me at [email protected].
Please always provide a minimal dataset, necessary to demonstrate the problem,
a minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and
all necessary information on the used librarys, the R version, and the OS it is run on, perhaps a sessionInfo().
The official version of TAM is hosted on CRAN and may be found here.
The CRAN version can be installed from within R using:
utils::install.packages("TAM")
The version hosted here is the development version of TAM.
The GitHub version can be installed using devtools as
devtools::install_github("alexanderrobitzsch/TAM")
or alternatively use
utils::install.packages('TAM', repos = c('https://alexanderrobitzsch.r-universe.dev', 'https://cloud.r-project.org'))