_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-gdina 2.9.4
Propagated dependencies: r-alabama@2023.1.0 r-ggplot2@3.5.1 r-mass@7.3-61 r-nloptr@2.1.1 r-numderiv@2016.8-1.1 r-rcpp@1.0.13-1 r-rcpparmadillo@14.0.2-1 r-rsolnp@1.16 r-shiny@1.8.1 r-shinydashboard@0.7.2
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://github.com/Wenchao-Ma/GDINA
Licenses: GPL 3
Synopsis: Generalized DINA model framework
Description:

This package provides 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.

Total results: 1