TDCM: The Transition Diagnostic Classification Model Framework
Estimate the transition diagnostic classification model (TDCM)
described in Madison & Bradshaw (2018) <doi:10.1007/s11336-018-9638-5>, a
longitudinal extension of the log-linear cognitive diagnosis model (LCDM) in
Henson, Templin & Willse (2009) <doi:10.1007/s11336-008-9089-5>. As the LCDM
subsumes many other diagnostic classification models (DCMs), many other DCMs
can be estimated longitudinally via the TDCM. The 'TDCM' package includes
functions to estimate the single-group and multigroup TDCM, summarize
results of interest including item parameters, growth proportions,
transition probabilities, transitional reliability, attribute correlations,
model fit, and growth plots.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.2.0) |
| Imports: |
CDM, gtools, polycor, stringr |
| Suggests: |
devtools, knitr, lintr, MASS, rmarkdown, ROI, roxygen2, styler (≥ 1.10.2), testthat (≥ 3.0.0), tinytex, V8 |
| Published: |
2024-02-05 |
| Author: |
Matthew J. Madison
 [aut, cph],
Sergio Haab [aut],
Minjeong Jeon [aut, cph],
Michael E. Cotterell
[aut, cre,
cph],
University of Georgia [cph] (The content and opinions expressed in this
material do not necessarily reflect the views of nor are they
endorsed by the University of Georgia or the University System of
Georgia.),
Institute of Education Sciences [fnd] (This work is supported by the
U.S. Department of Education Institute of Education Sciences under
IES Award Number R305D220020.),
National Science Foundation [fnd] (This work is supported by the
National Science Foundation under NSF Award Number 1921373.) |
| Maintainer: |
Michael E. Cotterell <mepcott at uga.edu> |
| BugReports: |
https://github.com/cotterell/tdcm/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/cotterell/tdcm |
| NeedsCompilation: |
no |
| SystemRequirements: |
pandoc |
| Language: |
en-US |
| Materials: |
README NEWS |
| CRAN checks: |
TDCM results |
Documentation:
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