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.

Package details

AuthorWenchao Ma [aut, cre, cph], Jimmy de la Torre [aut, cph], Miguel Sorrel [ctb]
MaintainerWenchao Ma <[email protected]>
LicenseGPL-3
Version2.3.2
URL https://github.com/Wenchao-Ma/GDINA https://wenchao-ma.github.io/GDINA
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GDINA")

Try the GDINA package in your browser

Any scripts or data that you put into this service are public.

GDINA documentation built on Jan. 5, 2019, 1:04 a.m.