GDINA: The Generalized DINA Model Framework

A set of psychometric tools for cognitive diagnosis modeling for both dichotomous and polytomous responses. Various cognitive diagnosis models can be estimated, include the generalized deterministic inputs, noisy and gate (G-DINA) model by de la Torre (2011) <doi:10.1007/s11336-011-9207-7>, the sequential G-DINA model by Ma and de la Torre (2016) <doi:10.1111/bmsp.12070>, and many other models they subsume. Joint attribute distribution can be independent, saturated, higher-order, loglinear smoothed or structured. Q-matrix validation, item and model fit statistics, model comparison at test and item level and differential item functioning can also be conducted. A graphical user interface is also provided.

Version: 2.1.15
Depends: R (≥ 3.1.0)
Imports: alabama, graphics, ggplot2, MASS, nloptr, numDeriv, Rcpp (≥ 0.12.1), Rsolnp, stats, shiny, shinydashboard, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: CDM, testthat
Published: 2018-06-07
Author: Wenchao Ma [aut, cre, cph], Jimmy de la Torre [aut, cph], Miguel Sorrel [ctb]
Maintainer: Wenchao Ma < at>
License: GPL-3
NeedsCompilation: yes
Citation: GDINA citation info
Materials: README NEWS
In views: Psychometrics
CRAN checks: GDINA results


Reference manual: GDINA.pdf
Package source: GDINA_2.1.15.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: GDINA_2.1.15.tgz, r-oldrel: GDINA_2.1.15.tgz
Old sources: GDINA archive

Reverse dependencies:

Reverse imports: ACTCD
Reverse suggests: CDM


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