TAM (2.6-2)

Test Analysis Modules.

http://www.edmeasurementsurveys.com/TAM/Tutorials/
https://github.com/alexanderrobitzsch/TAM
http://cran.r-project.org/web/packages/TAM

Includes marginal 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) and joint maximum likelihood estimation for models from the Rasch family. Latent regression models and plausible value imputation are also supported.

Maintainer: Alexander Robitzsch
Author(s): Alexander Robitzsch [aut, cre], Thomas Kiefer [aut], Margaret Wu [aut]

License: GPL (>= 2)

Uses: CDM, coda, mvtnorm, Rcpp, sfsmisc, GPArotation, lattice, psych, plyr, lavaan, sirt, miceadds, WrightMap, LSAmitR
Reverse depends: sirt
Reverse suggests: CDM, immer, LSAmitR

Released about 1 month ago.