TAM: Test Analysis Modules
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 <doi:10.1177/0146621697211001>,
Adams, Wilson and Wu, 1997 <doi:10.3102/10769986022001047>,
Formann, 1982 <doi:10.1002/bimj.4710240209>,
Formann, 1992 <doi:10.1080/01621459.1992.10475229>.
| Version: |
4.0-16 |
| Depends: |
R (≥ 2.15.1), CDM (≥ 6.4-19) |
| Imports: |
graphics, methods, Rcpp, stats, utils |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
coda, GPArotation, grDevices, lattice, lavaan, MASS, miceadds, mvtnorm, plyr, psych, sfsmisc, splines, WrightMap |
| Enhances: |
LSAmitR |
| Published: |
2022-05-14 |
| Author: |
Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>),
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,
https://sites.google.com/site/alexanderrobitzsch2/software |
| NeedsCompilation: |
yes |
| Citation: |
TAM citation info |
| Materials: |
README NEWS |
| In views: |
MissingData, Psychometrics |
| CRAN checks: |
TAM results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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