{ "_id": "6adb750358000136b5c82b56", "Package": "umg", "Type": "Package", "Title": "Unified Model Graphs for Statistical Models in Psychology", "Version": "0.6.1", "Authors@R": "person(given = \"Hsiu-Ting\", family = \"Yu\",\nemail = \"hsiutingyu@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-3668-8033\"))", "Description": "Constructs, validates, lays out, and renders Unified Model\nGraphs (UMG), a formal graphical grammar for statistical models\nin psychology. Vertices are typed by observability, support,\nand inferential role; edges distinguish stochastic, symmetric,\ndeterministic, and mixing dependence; plates encode replication\nand hierarchy. Diagrams can be themed and rendered with base\n'grid' graphics, with 'ggplot2', as 'TikZ' code, or as\n'Graphviz' DOT, and can be constructed either from one-line\nmotif builders for many model families or automatically from\n'lavaan', 'lme4', 'mirt', 'blavaan', 'brms', 'OpenMx', and\n'qgraph' model objects. A diagram can be inspected as a data\nframe, summarised, and exported back to 'lavaan' model syntax,\nmaking the model-diagram correspondence operational in both\ndirections. Each diagram also exposes identification\ndiagnostics (scaling checks, a graphical counting rule, and a\nd-separation reader) and generates the exploratory display\nscaffolds implied by the model-data duality. 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