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TDCM
View on CRAN: Click
here
Download and install TDCM package within the R console
Install from CRAN:
install.packages("TDCM")
Install from Github:
library("remotes")
install_github("cran/TDCM")
Install by package version:
library("remotes")
install_version("TDCM", "0.1.0")
Attach the package and use:
library("TDCM")
Maintained by
Michael E. Cotterell
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-05
Latest Update: 2024-02-05
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.
How to cite:
Michael E. Cotterell (2024). TDCM: The Transition Diagnostic Classification Model Framework. R package version 0.1.0, https://cran.r-project.org/web/packages/TDCM. Accessed 22 Dec. 2024.
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