{ "_id": "6a1f331fb401979e734280f0", "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": "2026-05-15 07:19:47 UTC", "User": "root" }, "Author": "Keiichiro Hijikata [aut, cre],\nMotonori Oka [aut] (ORCID: ),\nKazuhiro Yamaguchi [aut] (ORCID:\n),\nKensuke Okada [aut] (ORCID: )", "MD5sum": "57c84b8c6db9f063a8192266f7e2e1f0", "_user": "khijikata", "_type": "src", "_file": "variationalDCM_2.0.2.tar.gz", "_fileid": "428c69601da1e080da5aa278afabc224d7bb596a893039acda28c8587cac8e9d", "_filesize": 216544, "_sha256": "428c69601da1e080da5aa278afabc224d7bb596a893039acda28c8587cac8e9d", "_created": "2026-05-15T07:19:47.000Z", "_published": "2026-06-02T19:46:39.842Z", "_distro": "noble", "_jobs": [ { "job": 79157962458, "time": 107, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7012135724" }, { "job": 79157962266, "time": 106, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7012135510" }, { "job": 79157962612, "time": 216, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7012154932" }, { "job": 79157962366, "time": 152, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7012138333" }, { "job": 79157961659, 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