Package: variationalDCM
Type: Package
Title: Variational Bayesian Estimation for Diagnostic Classification
        Models
Version: 2.0.2
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
        (2024) <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'
Repository: https://khijikata.r-universe.dev
Date/Publication: 2024-03-30 13:24:17 UTC
RemoteUrl: https://github.com/khijikata/variationaldcm
RemoteRef: HEAD
RemoteSha: 98b17c2732d51be96915dd96febc266e9163e285
NeedsCompilation: no
Packaged: 2026-07-14 07:28:04 UTC; root
Author: Keiichiro Hijikata [aut, cre],
  Motonori Oka [aut] (ORCID: <https://orcid.org/0000-0002-9867-8922>),
  Kazuhiro Yamaguchi [aut] (ORCID:
    <https://orcid.org/0000-0001-8011-8575>),
  Kensuke Okada [aut] (ORCID: <https://orcid.org/0000-0003-1663-5812>)