GDINA: The Generalized DINA Model Framework
A set of psychometric tools for cognitive diagnosis modeling based on the generalized deterministic inputs, noisy and gate (G-DINA) model by de la Torre (2011) <doi:10.1007/s11336-011-9207-7> and its extensions, including the sequential G-DINA model by Ma and de la Torre (2016) <doi:10.1111/bmsp.12070> for polytomous responses, and the polytomous G-DINA model by Chen and de la Torre <doi:10.1177/0146621613479818> for polytomous attributes. 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. For tutorials, please check Ma and de la Torre (2020) <doi:10.18637/jss.v093.i14>, Ma and de la Torre (2019) <doi:10.1111/emip.12262>, Ma (2019) <doi:10.1007/978-3-030-05584-4_29> and de la Torre and Akbay (2019) <doi:10.14689/ejer.2019.80.9>.
Version: |
2.8.0 |
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, Matrix, testthat, pkgdown, poLCA, stringr, knitr, rmarkdown |
Published: |
2020-05-24 |
Author: |
Wenchao Ma [aut, cre, cph],
Jimmy de la Torre [aut, cph],
Miguel Sorrel [ctb],
Zhehan Jiang [ctb] |
Maintainer: |
Wenchao Ma <wenchao.ma at ua.edu> |
BugReports: |
https://github.com/Wenchao-Ma/GDINA/issues |
License: |
GPL-3 |
URL: |
https://github.com/Wenchao-Ma/GDINA,
https://wenchao-ma.github.io/GDINA |
NeedsCompilation: |
yes |
Citation: |
GDINA citation info |
Materials: |
README NEWS |
In views: |
Psychometrics |
CRAN checks: |
GDINA results |
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
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