MASS, psych, polycor, sfsmisc, Rcpp (>= 0.11),

Rcpp (>= 0.11), psych, MASS, polycor, sfsmisc

Rcpp (>= 0.11), psych, MASS, polycor, sfsmisc, plyr

Rcpp, psych, MASS, polycor, sfsmisc, plyr, WrightMap, lattice
TAM, mirt, sirt, BIFIEsurvey, NPCD, ACTCD, pks

Rcpp, psych, MASS, polycor, sfsmisc, plyr, lattice

stats, graphics, utils, Rcpp, psych, MASS, polycor, sfsmisc,
plyr, lattice, grDevices, methods

stats, graphics, utils, grDevices, methods, Rcpp, psych, MASS,
polycor, sfsmisc, plyr, lattice

c( person("Alexander", "Robitzsch", role = c("aut", "cre"),
email = "robitzsch@ipn.uni-kiel.de"),
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 (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).
graphics, grDevices, lattice, MASS, methods, plyr, polycor,
psych, Rcpp, sfsmisc, stats, utils

BIFIEsurvey, miceadds, mirt (>= 1.17), sirt, TAM

BIFIEsurvey, GDINA, miceadds, mirt, sirt, TAM

graphics, grDevices, methods, polycor, Rcpp, sfsmisc, stats,
utils
BIFIEsurvey, GDINA, lattice, miceadds, mirt, psych, sirt, TAM

Functions for cognitive diagnosis modeling and multidimensional item response modeling
for dichotomous and polytomous item responses. This package enables the estimation of
the DINA and DINO model (Junker & Sijtsma, 2001, <doi:10.1177/01466210122032064>),
the multiple group (polytomous) GDINA model (de la Torre, 2011,
<doi:10.1007/s11336-011-9207-7>), the multiple choice DINA model (de la Torre, 2009,
<doi:10.1177/0146621608320523>), the general diagnostic model (GDM; von Davier, 2008,
<doi:10.1348/000711007X193957>), the structured latent class model (SLCA; Formann, 1992,
<doi:10.1080/01621459.1992.10475229>) and regularized latent class analysis
(Chen, Li, Liu, & Ying, 2017, <doi:10.1007/s11336-016-9545-6>).
See George, Robitzsch, Kiefer, Gross, and Uenlue (2017) <doi:10.18637/jss.v074.i02>
for further details on estimation and the package structure.
For tutorials on how to use the CDM package see
George and Robitzsch (2015, <doi:10.20982/tqmp.11.3.p189>) as well as
Ravand and Robitzsch (2015, <http://pareonline.net/getvn.asp?v=20&n=11>).
graphics, grDevices, MASS, methods, polycor, Rcpp, sfsmisc,
stats, utils
BIFIEsurvey, GDINA, lattice, miceadds, mirt, sirt, TAM