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 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: |
1.4.2 |
Depends: |
R (≥ 3.1.0) |
Imports: |
alabama, data.table, graphics, ggplot2, MASS, nloptr, numDeriv, Rcpp (≥ 0.12.1), Rsolnp, stats, utils |
LinkingTo: |
Rcpp, RcppArmadillo |
Suggests: |
CDM, testthat, shiny, shinydashboard |
Published: |
2017-04-13 |
Author: |
Wenchao Ma [aut, cre],
Jimmy de la Torre [aut] |
Maintainer: |
Wenchao Ma <wenchao.ma at rutgers.edu> |
BugReports: |
https://github.com/Wenchao-Ma/GDINA/issues |
License: |
GPL-3 |
URL: |
https://github.com/Wenchao-Ma/GDINA |
NeedsCompilation: |
yes |
Citation: |
GDINA citation info |
Materials: |
NEWS |
In views: |
Psychometrics |
CRAN checks: |
GDINA results |
Downloads:
Reverse dependencies:
Linking:
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