Package: TDCM
Title: The Transition Diagnostic Classification Model Framework
Version: 0.3.0
Authors@R: c(
    person(
      "Matthew J.", "Madison",
      email = "mjmadison@uga.edu",
      role = c("aut", "cph"),
      comment = c(ORCID = "0000-0002-2944-7442")
    ),
    person(
      "Sergio", "Haab", 
      email = "sergio.haab@uga.edu",
      role = c("aut")
    ),
    person(
      "Minjeong", "Jeon",
      email = "mjjeon@ucla.edu",
      role = c("aut", "cph")
    ),
    person(
      "Constanza", "Mardones-Segovia",
      email = "constanza.mardonessegovia@uga.edu",
      role = c("aut", "cph")
    ),
    person(
      "Michael E.", "Cotterell",
      email = "mepcott@uga.edu",
      role = c("aut", "cre", "cph"),
      comment = c(ORCID = "0000-0002-4302-0891")
    ),
    person(
      "University of Georgia",
      role = c("cph"),
      comment = c(
        "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."
      )
    ),
    person(
      "Institute of Education Sciences",
      role = c("fnd"),
      comment = c(
        "This work is supported by the U.S. Department of Education Institute of
        Education Sciences under IES Award Number R305D220020."
      )
    ),
    person(
      "National Science Foundation",
      role = c("fnd"),
      comment = c(
        "This work is supported by the National Science Foundation under NSF
        Award Number 1921373."
      )
    )
  )
Description: 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.
License: MIT + file LICENSE
URL: https://cotterell.github.io/tdcm/,
        https://github.com/cotterell/tdcm
BugReports: https://github.com/cotterell/tdcm/issues
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.2.0)
Suggests: devtools, knitr, lintr, MASS, rmarkdown, ROI, roxygen2,
        rsconnect, styler (>= 1.10.2), testthat (>= 3.0.0), tinytex, V8
Config/testthat/edition: 3
Config/Needs/website: pkgdown
SystemRequirements: pandoc
VignetteBuilder: knitr
RoxygenNote: 7.3.3
Imports: CDM, gtools, polycor, stringr
NeedsCompilation: no
Packaged: 2026-04-22 21:04:45 UTC; mepcott
Author: Matthew J. Madison [aut, cph] (ORCID:
    <https://orcid.org/0000-0002-2944-7442>),
  Sergio Haab [aut],
  Minjeong Jeon [aut, cph],
  Constanza Mardones-Segovia [aut, cph],
  Michael E. Cotterell [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-4302-0891>),
  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@uga.edu>
Repository: CRAN
Date/Publication: 2026-04-22 21:20:02 UTC
Built: R 4.4.3; ; 2026-04-22 23:14:36 UTC; unix
