{ "_id": "6ac395d3192c10f297258cc8", "Package": "vbpm", "Type": "Package", "Title": "Variational Bayes Psychometric Models", "Version": "0.9.1", "Authors@R": "c(\nperson(\"Jinsong\", \"Chen\", email = \"jinsong.chen@live.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-0157-5469\")),\nperson(\"Yi\", \"Jin\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-8604-5992\")))", "Description": "Variational Bayes estimation for a family of psychometric\nmeasurement models. Two models are provided. Variational Bayes\nfactor analysis (vbfa) is a regularized partially confirmatory\nfactor model spanning the confirmatory-exploratory continuum\nvia spike-and-slab priors on the loadings (Chen, Guo, Zhang,\nand Pan, 2021 ; Chen, 2023\n; Jin and Chen, 2025\n), with an optional dynamic\n(warm-started) regularization path, an orthogonal bifactor\nparameterization, and optional sparse residual (local\ndependence) estimation through a graphical spike-and-slab prior\nsolved by QUIC (Jin, Chen, Yan, and Zhang, 2026\n). Regularized MIMIC (vbmimic)\nextends this to multiple-indicators multiple-causes models,\nplacing spike-and-slab priors on both the measurement and the\nstructural part (Jin and Chen, 2025\n). Companion tools compute\nSEM-like fit statistics, and sweep a factor-count window to\nreport candidate fit, criterion, and between-candidate\nloading-correspondence measurements without selecting a count\n(Chen and Jin, 2026 ). Data\ngenerators for either model family are also provided.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "URL": "https://github.com/Jinsong-Chen/vbpm", "BugReports": "https://github.com/Jinsong-Chen/vbpm/issues", "Config/roxygen2/version": "8.0.0", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-10-05 12:14:17 UTC", "User": "root" }, "Author": "Jinsong Chen [aut, cre] (ORCID:\n), Yi Jin [aut] (ORCID:\n)", "Maintainer": "Jinsong Chen ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-09-05 16:08:36 UTC", "RemoteUrl": "https://github.com/cran/vbpm", "RemoteRef": "HEAD", "RemoteSha": "da9892a53bf026d69b47f6109bb5abad52dcd9da", "_user": "cran", "_type": "src", "_file": "vbpm_0.9.1.tar.gz", "_fileid": "https://r2.ropensci.org/2a1333c754c635ca5e40c5312297b2655d3326761eb620faa020849a59b3266c", "_filesize": 843895, "_sha256": 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