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 |
Downloads:
Reverse dependencies:
Linking:
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