{
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  "Package": "GAPR",
  "Title": "Generalized Association Plots",
  "Version": "0.1.5",
  "Authors@R": "c(\nperson(\"Shu-Yu\", \"Lin\", , \"shuyuuu89@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Chiun-How\", \"Kao\", , \"157294@mail.tku.edu.tw\", role = c(\"aut\", \"ctb\")),\nperson(\"Chun-Houh\", \"Chen\", , \"cchen@stat.sinica.edu.tw\", role = c(\"aut\", \"ctb\"))\n)",
  "Description": "Provides a comprehensive framework for visualizing\nassociations and interaction structures in matrix-formatted\ndata using Generalized Association Plots (GAP). The package\nimplements multiple proximity computation methods (e.g.,\ncorrelation, distance metrics), ordering techniques including\nhierarchical clustering (HCT) and Rank-2-Ellipse (R2E)\nseriation, and optional flipping strategies to enhance visual\nsymmetry. It supports a variety of covariate-based color\nannotations, allows flexible customization of layout and\noutput, and is suitable for analyzing multivariate data across\ndomains such as social sciences, genomics, and medical\nresearch. The method is based on Generalized Association Plots\nintroduced by Chen (2002)\n<https://www3.stat.sinica.edu.tw/statistica/J12N1/J12N11/J12N11.html>\nand further extended by Wu, Tien, and Chen (2010)\n<doi:10.1016/j.csda.2008.09.029>.",
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  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
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    "Date": "2026-06-01 08:41:54 UTC",
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  "Author": "Shu-Yu Lin [aut, cre], Chiun-How Kao [aut, ctb], Chun-Houh Chen\n[aut, ctb]",
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