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.
alabama, data.table, graphics, ggplot2, MASS, nloptr,
numDeriv, Rcpp (>= 0.12.1), Rsolnp, stats, utils
'CR.R' 'GDI.R' 'GDINA-package.R' 'GDINA.R' 'HO.R'
'HOsupplement.R' 'M.R' 'M.mono.R' 'Mstep.R' 'Msupplement.R'
'RcppExports.R' 'alpha.R' 'anova.GDINA.R' 'att.struc.R'
'autoGDINA.R' 'designmatrix.R' 'dif.R' 'ecpe.R' 'eta.loc.R'
'exportedUtils.R' 'extract.GDINA.R' 'extract.Qval.R'
'itemfit.R' 'extract.itemfit.R' 'modelcomp.R'
'extract.modelcomp.R' 'simGDINA.R' 'extract.simGDINA.R'
'frac20.R' 'heatplot.itemfit.R' 'hoparm.R' 'initials.R'
'internalExtract.R' 'itemparm.GDINA.R' 'monocheck.R'
'personparm.GDINA.R' 'plotIRF.GDINA.R' 'plotPVAF.Qval.R'
'print.GDINA.R' 'rowCount.R' 's3GDINA.R' 'sim10GDINA.R'
'sim20seqGDINA.R' 'sim21seqDINA.R' 'sim30DINA.R' 'sim30GDINA.R'
'sim30pGDINA.R' 'startGDINA.R' 'summary.GDINA.R' 'utils.R'
'zzz.R'

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.