TAM: Test Analysis Modules

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.

Version: 1.99-6
Depends: R (≥ 2.15.1), CDM
Imports: GPArotation, graphics, grDevices, lavaan, lattice, MASS, methods, msm, mvtnorm, plyr, psych, Rcpp, sfsmisc, stats, utils, tensor, WrightMap
LinkingTo: Rcpp, RcppArmadillo
Suggests: miceadds, sirt
Published: 2016-04-16
Author: Thomas Kiefer [aut], Alexander Robitzsch [aut, cre], Margaret Wu [aut]
Maintainer: Alexander Robitzsch <robitzsch at ipn.uni-kiel.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.edmeasurementsurveys.com/TAM/Tutorials/
NeedsCompilation: yes
Materials: NEWS
In views: Psychometrics
CRAN checks: TAM results

Downloads:

Reference manual: TAM.pdf
Package source: TAM_1.99-6.tar.gz
Windows binaries: r-devel: TAM_1.99-6.zip, r-release: TAM_1.99-6.zip, r-oldrel: TAM_1.99-6.zip
OS X Snow Leopard binaries: r-release: TAM_1.99-6.tgz, r-oldrel: TAM_1.6-0.tgz
OS X Mavericks binaries: r-release: TAM_1.99-6.tgz
Old sources: TAM archive

Reverse dependencies:

Reverse depends: sirt
Reverse imports: BIFIEsurvey, miceadds
Reverse suggests: CDM, immer