{
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  "Package": "panelView",
  "Type": "Package",
  "Title": "Visualizing Panel Data",
  "Version": "1.3.1",
  "Date": "2026-05-13",
  "Authors@R": "c(person(\"Yiqing\", \"Xu\", ,\"yiqingxu@stanford.edu\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-2041-6671\")),\nperson(\"Hongyu\", \"Mou\", , \"hongyumou@g.ucla.edu\", role = c(\"aut\")),\nperson(\"Licheng\", \"Liu\", ,\"liulch@mit.edu\", role = c(\"aut\")))",
  "Maintainer": "Yiqing Xu <yiqingxu@stanford.edu>",
  "Description": "Visualizes panel data. It has four main functionalities:\n(1) it plots the treatment status and missing values in a panel\ndataset; (2) it visualizes the temporal dynamics of a main\nvariable of interest; (3) it depicts the bivariate\nrelationships between a treatment variable and an outcome\nvariable either by unit or in aggregate; (4) it displays the\nnetwork structure of multi-way fixed effects as a k-partite\ngraph, identifying connected components, singletons, and\nduplicate observations. For details, see\n<doi:10.18637/jss.v107.i07>.",
  "URL": "https://yiqingxu.org/packages/panelview/,\nhttps://github.com/xuyiqing/panelView",
  "BugReports": "https://github.com/xuyiqing/panelView/issues",
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  "Author": "Yiqing Xu [aut, cre] (<https://orcid.org/0000-0003-2041-6671>),\nHongyu Mou [aut], Licheng Liu [aut]",
  "Repository": "https://xuyiqing.r-universe.dev",
  "Date/Publication": "2026-05-14 06:40:08 UTC",
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    "author": "Yiqing Xu <xuyiqing@users.noreply.github.com>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Release v1.3.1: modern theme refresh + network type (#10)\n\n* v1.3.0: add type = \"network\" for k-partite graph visualization\n\nNew feature: visualize panel data connectivity as a k-partite graph\n(Correia 2016). Identifies singletons, connected components, and\nnon-unique observations via weighted edges. Supports 2+ FE dimensions,\nformula-based missingness, and user-tunable edge/node styling.\n\nNew parameters: show.singletons, highlight.components, layout, node.size,\nshow.labels, edge.color, edge.alpha, edge.width, singleton.color.\nigraph added to Suggests. Tutorial chapter 4 added. Version bumped to 1.3.0.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n* tutorial: use consistent U-prefix naming for simulated units in ch4\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n* tutorial.Rproj\n\n* Update DESCRIPTION and ch4 tutorial: add network functionality, improve structure\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n* docs: add NEWS.md for 1.3.0 release\n\nDocument network visualization feature and historical changelog\nfor CRAN submission.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n* v1.3.1: modern theme refresh, new theme/group.mean.overlay arguments\n\n* v1.3.1: modern theme refresh, new theme/group.mean.overlay arguments\n\nVisual refresh across all four plot types (treat / outcome / bivariate / network):\n\n* Plain left-aligned titles at base size 11, white background for status\n  heatmaps, subtle major-x gridlines for trajectories, thin gray dashed\n  treatment-onset marker (replaces prior thick white separator).\n* Multi-level discrete-status palette refreshed to a muted, perceptually\n  distinct sequence; binary blue cascade and continuous gradient unchanged.\n* Outcome control trajectories lightened to grey75 so dense overlapping\n  lines no longer darken into a near-black band.\n* Outcome draw order fixed: controls now render at the bottom, treated-pre\n  next, treated-post on top",
    "time": 1778740808
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