Functions for cognitive diagnosis modeling and
multidimensional item response modeling for dichotomous and
polytomous data. This package enables the estimation of the
DINA and DINO model, the multiple group GDINA model and the
general diagnostic model (GDM) which contains the
multidimensional linear compensatory item response model as a
special case.
R (>= 2.13.0), mvtnorm, polycor, MASS, psych

Alexander Robitzsch [aut, cre], Thomas Kiefer [aut],
Ann Cathrice George [aut], Ali Uenlue [aut]
c( person("Alexander", "Robitzsch", role = c("aut", "cre"),
email = "a.robitzsch@bifie.at"),
person("Thomas", "Kiefer", role = "aut"),
person("Ann Cathrice", "George", role = "aut"),
person("Ali", "Uenlue", role = "aut") )
Functions for cognitive diagnosis modeling
and multidimensional item response modeling for dichotomous
and polytomous data. This package enables the estimation of the
DINA and DINO model, the multiple group GDINA model and the
general diagnostic model (GDM) which contains the multidimensional
linear compensatory item response model as a special case.

Functions for cognitive diagnosis modeling
and multidimensional item response modeling for dichotomous
and polytomous data. This package enables the estimation of the
DINA and DINO model, the multiple group (polytomous) GDINA model
and the general diagnostic model (GDM) which contains the
multidimensional linear compensatory item response model as a
special case.

Functions for cognitive diagnosis modeling
and multidimensional item response modeling for dichotomous
and polytomous data. This package enables the estimation of the
DINA and DINO model, the multiple group (polytomous) GDINA model,
the multiple choice DINA model and the general diagnostic model (GDM)
which contains the multidimensional linear compensatory item response
model as a special case.
MASS, psych, polycor, sfsmisc, Rcpp (>= 0.11)

Functions for cognitive diagnosis modeling
and multidimensional item response modeling for dichotomous
and polytomous data. This package enables the estimation of the
DINA and DINO model, the multiple group (polytomous) GDINA model,
the multiple choice DINA model, the general diagnostic model (GDM),
the multidimensional linear compensatory item response model and
the structured latent class model (SLCA).