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  "Title": "Conduct Idionomic Analyses for Time Series Modeling",
  "Version": "0.1.0",
  "Authors@R": "c(\nperson(\"Cristóbal\", \"Hernández\", email = \"cristobal.ehc@gmail.com\", role = c(\"cre\",\"aut\")),\nperson(\"Joseph\", \"Ciarrochi\", email = \"ciarrochij@gmail.com\", role = \"aut\"),\nperson(\"Steven\", \"Hayes\", email = \"stevenchayes@gmail.com\", role = \"aut\"),\nperson(\"Baljinder\", \"Sahdra\", email = \"baljinder.sahdra@acu.edu.au\", role = \"aut\"))",
  "Description": "A toolkit for idionomic science, a research philosophy\nthat places the unit of the ensemble (individual/couple/group)\nat the center of analysis. Rather than assuming a common\ndistribution, a similar enough process for each unit, and\nfitting a single model to the whole ensemble, idionomic methods\nmodel each unit separately, then aggregate upward if sensible.\nThe group-level picture emerges from individual results, not\nthe other way around, while explicitly evaluating whether\naggregation is reasonable given the measured level of\nheterogeneity of effects. The package is built around intensive\nlongitudinal data where each participant contributes a time\nseries. It provides a pipeline from preprocessing through\nmodeling to group-level summaries. Current functions: data\nquality screening (i_screener()), within-person standardization\n(pmstandardize()), linear detrending (i_detrender()),\nper-subject ARIMAX (AutoRegressive Integrated Moving Average\nwith eXogenous inputs) modeling and meta-analysis (iarimax()),\nindividual p-values (i_pval()), Sign Divergence and\nEquisyncratic Null tests (sden_test()), and directed loop\ndetection (looping_machine()). Methods are described in\nHernandez et al. (2024) <doi:10.1007/978-3-030-77644-2_136-1>,\nCiarrochi et al. (2024) <doi:10.1007/s10608-024-10486-w>, and\nSahdra et al. (2024) <doi:10.1016/j.jcbs.2024.100728>.",
  "URL": "https://github.com/cristobalehc/idionomics",
  "BugReports": "https://github.com/cristobalehc/idionomics/issues",
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  "Repository": "https://cristobalehc.r-universe.dev",
  "Date/Publication": "2026-04-16 13:28:25 UTC",
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      "title": "idionomics: Conduct Idionomic Analyses for Time Series Modeling",
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        "idionomics"
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