{ "_id": "6a55e604ff0138dec5d6a502", "Package": "variationalDCM", "Type": "Package", "Title": "Variational Bayesian Estimation for Diagnostic Classification\nModels", "Version": "2.0.2", "Authors@R": "c(person(\"Keiichiro\", \"Hijikata\", email = \"k.hijikata.1120@outlook.jp\", role = c(\"aut\", \"cre\")),\nperson(\"Motonori\", \"Oka\", role = \"aut\", comment = c(ORCID = \"0000-0002-9867-8922\")),\nperson(\"Kazuhiro\", \"Yamaguchi\", role = \"aut\", comment = c(ORCID = \"0000-0001-8011-8575\")),\nperson(\"Kensuke\", \"Okada\", role = \"aut\", comment = c(ORCID = \"0000-0003-1663-5812\")))", "Description": "Enables computationally efficient parameters-estimation by\nvariational Bayesian methods for various diagnostic\nclassification models (DCMs). DCMs are a class of discrete\nlatent variable models for classifying respondents into latent\nclasses that typically represent distinct combinations of\nskills they possess. Recently, to meet the growing need of\nlarge-scale diagnostic measurement in the field of educational,\npsychological, and psychiatric measurements, variational\nBayesian inference has been developed as a computationally\nefficient alternative to the Markov chain Monte Carlo methods,\ne.g., Yamaguchi and Okada (2020a)\n, Yamaguchi and Okada (2020b)\n, Yamaguchi (2020)\n, Oka and Okada (2023)\n, and Yamaguchi and Martinez\n(2024) . To facilitate their\napplications, 'variationalDCM' is developed to provide a\ncollection of recently-proposed variational Bayesian estimation\nmethods for various DCMs.", "Maintainer": "Keiichiro Hijikata ", "License": "GPL-3", "Encoding": "UTF-8", "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'\n'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": { "Date": "2026-07-14 07:28:04 UTC", "User": "root" }, "Author": "Keiichiro Hijikata [aut, cre],\nMotonori Oka [aut] (ORCID: ),\nKazuhiro 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