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: 2.4-9
Depends: R (≥ 2.15.1), CDM (≥ 5.7-3)
Imports: coda, GPArotation, graphics, grDevices, lavaan, lattice, MASS, methods, mvtnorm, plyr, psych, Rcpp, sfsmisc, stats, utils, WrightMap
LinkingTo: Rcpp, RcppArmadillo
Suggests: miceadds, sirt
Published: 2017-06-30
Author: Alexander Robitzsch [aut, cre], Thomas Kiefer [aut], 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/, https://github.com/alexanderrobitzsch/TAM
NeedsCompilation: yes
Citation: TAM citation info
Materials: README NEWS
In views: Psychometrics
CRAN checks: TAM results


Reference manual: TAM.pdf
Package source: TAM_2.4-9.tar.gz
Windows binaries: r-devel: TAM_2.4-9.zip, r-release: TAM_2.4-9.zip, r-oldrel: TAM_2.4-9.zip
OS X El Capitan binaries: r-release: TAM_2.4-9.tgz
OS X Mavericks binaries: r-oldrel: TAM_2.4-9.tgz
Old sources: TAM archive

Reverse dependencies:

Reverse imports: BIFIEsurvey, mdmb, miceadds, sirt
Reverse suggests: CDM, immer, LSAmitR


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