{
  "_id": "6a101086acfb0bcc41c81e70",
  "Package": "pompom",
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  "Title": "Person-Oriented Method and Perturbation on the Model",
  "Version": "0.2.1",
  "Authors@R": "c(person(\"Xiao\", \"Yang\", email = \"vwendy@gmail.com\", role = c(\"cre\", \"aut\")),person(\"Nilam\", \"Ram\", email = \"nur5@psu.edu\", role = \"aut\"),person(\"Peter\", \"Molenaar\", email = \"pxm21@psu.edu\", role = \"aut\"))",
  "Maintainer": "Xiao Yang <vwendy@gmail.com>",
  "Description": "An implementation of a hybrid method of person-oriented\nmethod and perturbation on the model. Pompom is the initials of\nthe two methods. The hybrid method will provide a multivariate\nintraindividual variability metric (iRAM). The person-oriented\nmethod used in this package refers to uSEM (unified structural\nequation modeling, see Kim et al., 2007, Gates et al., 2010 and\nGates et al., 2012 for details). Perturbation on the model was\nconducted according to impulse response analysis introduced in\nLutkepohl (2007). Kim, J., Zhu, W., Chang, L., Bentler, P. M.,\n& Ernst, T. (2007) <doi:10.1002/hbm.20259>. Gates, K. M.,\nMolenaar, P. C. M., Hillary, F. G., Ram, N., & Rovine, M. J.\n(2010) <doi:10.1016/j.neuroimage.2009.12.117>. Gates, K. M., &\nMolenaar, P. C. M. (2012)\n<doi:10.1016/j.neuroimage.2012.06.026>. Lutkepohl, H. (2007,\nISBN:3540262393).",
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  "Author": "Xiao Yang [cre, aut], Nilam Ram [aut], Peter Molenaar [aut]",
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  "Repository": "https://vwendy.r-universe.dev",
  "Date/Publication": "2021-02-14 23:40:02 UTC",
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    "model_summary",
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    "plot_integrated_time_profile",
    "plot_iRAM_dist",
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      "title": "Generate iRAM (impulse response anlaysis metric) from model fit.",
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      "filename": "Three_node_exmaple.html",
      "title": "Three-node Example to Compute iRAM (impulse response analysis metric)",
      "author": "Written by Xiao Yang",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Outline of Tutorial",
        "Step 1. Prepare simulation of time-series data",
        "Set up a 3 node model",
        "Network graph",
        "Simulate time-series",
        "Plot the simulated time-series",
        "Step 2. Apply Intraindividual Variability Method (unified Structural SEM, uSEM) on multivariate time-series data",
        "Use uSEM to fit the model and parse parameters.",
        "Step 3. Apply a network analysis method (also called impulse reponse analysis) on person-specific network",
        "Set parameters for impulse response analysis",
        "Step 4. Calculate impulse response analysis metric (iRAM)",
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