Package: variationalDCM
Type: Package
Title: Variational Bayesian Estimation for Diagnostic Classification
        Models
Version: 2.0.1
Authors@R: c(person("Keiichiro", "Hijikata", email = "k.hijikata.1120@outlook.jp", role = c("aut", "cre")),
    person("Motonori", "Oka", role = "aut", comment = c(ORCID = "0000-0002-9867-8922")),
    person("Kazuhiro", "Yamaguchi", role = "aut", comment = c(ORCID = "0000-0001-8011-8575")),
    person("Kensuke", "Okada", role = "aut", comment = c(ORCID = "0000-0003-1663-5812")))
Description: Enables computationally efficient parameters-estimation by variational Bayesian methods for various diagnostic classification models (DCMs). DCMs are a class of discrete latent variable models for classifying respondents into latent classes that typically represent distinct combinations of skills they possess. Recently, to meet the growing need of large-scale diagnostic measurement in the field of educational, psychological, and psychiatric measurements, variational Bayesian inference has been developed as a computationally efficient alternative to the Markov chain Monte Carlo methods, e.g., Yamaguchi and Okada (2020a) <doi:10.1007/s11336-020-09739-w>, Yamaguchi and Okada (2020b) <doi:10.3102/1076998620911934>, Yamaguchi (2020) <doi:10.1007/s41237-020-00104-w>, Oka and Okada (2023) <doi:10.1007/s11336-022-09884-4>, and Yamaguchi and Martinez (2023) <doi:10.1111/bmsp.12308>. To facilitate their applications, 'variationalDCM' is developed to provide a collection of recently-proposed variational Bayesian estimation methods for various DCMs.
Maintainer: Keiichiro Hijikata <k.hijikata.1120@outlook.jp>
Depends: R (>= 4.2.0)
License: GPL-3
Encoding: UTF-8
Imports: mvtnorm, stats
Suggests: knitr
VignetteBuilder: knitr
RoxygenNote: 7.2.2
URL: https://github.com/khijikata/variationalDCM
BugReports: https://github.com/khijikata/variationalDCM/issues
Config/testthat/edition: 3
LazyData: true
Collate: 'data.R' 'dina.R' 'dino.R' 'hm_dcm.R' 'mc_dina.R' 'satu_dcm.R'
        'variationalDCM.R' 'summary.R'
NeedsCompilation: no
Packaged: 2024-03-25 13:54:29 UTC; khiji
Author: Keiichiro Hijikata [aut, cre],
  Motonori Oka [aut] (<https://orcid.org/0000-0002-9867-8922>),
  Kazuhiro Yamaguchi [aut] (<https://orcid.org/0000-0001-8011-8575>),
  Kensuke Okada [aut] (<https://orcid.org/0000-0003-1663-5812>)
Repository: CRAN
Date/Publication: 2024-03-25 14:10:02 UTC
Built: R 4.4.3; ; 2025-11-01 02:39:50 UTC; windows
