GDINA: The Generalized DINA Model Framework

A set of psychometric tools for cognitive diagnostic analyses for both dichotomous and polytomous responses. Various cognitive diagnosis models (CDMs) 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 saturated, higher-order 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: 1.0.0
Depends: R (≥ 3.1.0)
Imports: stats, graphics, utils, Rcpp (≥ 0.12.1), nloptr, MASS, numDeriv, alabama, Rsolnp, ggplot2, shiny, shinydashboard
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat
Published: 2016-12-12
Author: Wenchao Ma [aut, cre], Jimmy de la Torre [aut]
Maintainer: Wenchao Ma < at>
License: GPL-3
NeedsCompilation: yes
Citation: GDINA citation info
CRAN checks: GDINA results


Reference manual: GDINA.pdf
Package source: GDINA_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: GDINA_1.0.0.tgz, r-oldrel: GDINA_1.0.0.tgz


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