Package: CDM
Type: Package
Title: Cognitive Diagnosis Modeling
Version: 8.2-6
Date: 2022-08-25 15:43:23
Author: 
    Alexander Robitzsch [aut, cre], Thomas Kiefer [aut],
    Ann Cathrice George [aut], Ali Uenlue [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
Description: 
    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> 
    or Robitzsch and George (2019, <doi:10.1007/978-3-030-05584-4_26>)     
    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).
Depends: R (>= 3.1), mvtnorm
Imports: graphics, grDevices, methods, polycor, Rcpp, stats, utils
Suggests: BIFIEsurvey, lattice, MASS, miceadds, ROI, sfsmisc
LinkingTo: Rcpp, RcppArmadillo
Enhances: dina, GDINA, mirt, rrum
LazyLoad: yes
LazyData: yes
URL: https://github.com/alexanderrobitzsch/CDM,
        https://sites.google.com/site/alexanderrobitzsch2/software
License: GPL (>= 2)
BugReports: https://github.com/alexanderrobitzsch/CDM/issues?state=open
NeedsCompilation: yes
Packaged: 2022-08-25 13:46:46 UTC; sunpn563
Repository: CRAN
Date/Publication: 2022-08-25 15:12:43 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 15:24:32 UTC; windows
Archs: i386, x64
