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  "Type": "Package",
  "Title": "Bootstrap Methods for Various Network Estimation Routines",
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  "Maintainer": "Sacha Epskamp <mail@sachaepskamp.com>",
  "Description": "Bootstrap methods to assess accuracy and stability of\nestimated network structures and centrality indices\n<doi:10.3758/s13428-017-0862-1>. Allows for flexible\nspecification of any undirected network estimation procedure in\nR, and offers default sets for various estimation routines.",
  "License": "GPL-2",
  "BugReports": "https://github.com/SachaEpskamp/bootnet/issues",
  "URL": "https://github.com/SachaEpskamp/bootnet",
  "RoxygenNote": "7.3.3",
  "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libjpeg-dev\nlibpng-dev libuv1-dev libxml2-dev libx11-dev zlib1g-dev",
  "Repository": "https://sachaepskamp.r-universe.dev",
  "Date/Publication": "2026-03-19 08:54:50 UTC",
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  "RemoteRef": "HEAD",
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  "Packaged": {
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    "message": "Draw unsigned mgm edges as gray for categorical nodes with >2 levels\n\nEdges involving categorical variables with more than 2 levels have\nundefined sign in mgm. Instead of treating them as positive (blue) and\nwarning, draw them as gray to indicate unknown sign. Also fix deprecated\ntilde in dplyr::arrange() call.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n",
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      "date": "2020-01-22"
    },
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      "date": "2020-05-10"
    },
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    "bootInclude",
    "bootnet",
    "bootnet_adalasso",
    "bootnet_cor",
    "bootnet_EBICglasso",
    "bootnet_ggmModSelect",
    "bootnet_graphicalVAR",
    "bootnet_huge",
    "bootnet_IsingFit",
    "bootnet_IsingSampler",
    "bootnet_LoGo",
    "bootnet_mgm",
    "bootnet_ncvRegularize",
    "bootnet_nodeRegresIC",
    "bootnet_pcor",
    "bootnet_piecewiseIsing",
    "bootnet_relimp",
    "bootnet_SVAR_lavaan",
    "bootnet_TMFG",
    "bootThreshold",
    "corStability",
    "differenceTest",
    "estimateNetwork",
    "genGGM",
    "ggmGenerator",
    "IsingGenerator",
    "multiverse",
    "netSimulator",
    "null",
    "quantile_transformation",
    "rank_transformation",
    "replicationSimulator"
  ],
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    {
      "page": "bootnet-package",
      "title": "Bootstrap Methods for Various Network Estimation Routines",
      "topics": [
        "bootnet-package"
      ]
    },
    {
      "page": "binarize",
      "title": "Binarizes a dataset",
      "topics": [
        "binarize"
      ]
    },
    {
      "page": "bootInclude",
      "title": "Inclusion proportion graph",
      "topics": [
        "bootInclude"
      ]
    },
    {
      "page": "bootnet",
      "title": "Bootstrapped network estimation",
      "topics": [
        "bootnet"
      ]
    },
    {
      "page": "bootThreshold",
      "title": "Threshold network based on bootstrapped intervals",
      "topics": [
        "bootThreshold"
      ]
    },
    {
      "page": "corStability",
      "title": "Correlation stability coefficient",
      "topics": [
        "corStability"
      ]
    },
    {
      "page": "differenceTest",
      "title": "Bootstrapped difference test",
      "topics": [
        "differenceTest"
      ]
    },
    {
      "page": "estimateNetwork",
      "title": "Estimate a network structure",
      "topics": [
        "bootnet_adalasso",
        "bootnet_cor",
        "bootnet_EBICglasso",
        "bootnet_ggmModSelect",
        "bootnet_graphicalVAR",
        "bootnet_huge",
        "bootnet_IsingFit",
        "bootnet_IsingSampler",
        "bootnet_LoGo",
        "bootnet_mgm",
        "bootnet_ncvRegularize",
        "bootnet_nodeRegresIC",
        "bootnet_pcor",
        "bootnet_piecewiseIsing",
        "bootnet_relimp",
        "bootnet_SVAR_lavaan",
        "bootnet_TMFG",
        "estimateNetwork"
      ]
    },
    {
      "page": "genGGM",
      "title": "Generates a GGM small-world network.",
      "topics": [
        "genGGM"
      ]
    },
    {
      "page": "ggmGenerator",
      "title": "Generates a function that simulates data from the Gaussian graphical model (GGM)",
      "topics": [
        "ggmGenerator"
      ]
    },
    {
      "page": "IsingGenerator",
      "title": "Generates a function that simulates data from the Ising model",
      "topics": [
        "IsingGenerator"
      ]
    },
    {
      "page": "multiverse",
      "title": "Multiverse plot of bootnet results",
      "topics": [
        "multiverse"
      ]
    },
    {
      "page": "netSimulator",
      "title": "Network Estimation Performance",
      "topics": [
        "netSimulator",
        "replicationSimulator"
      ]
    },
    {
      "page": "plot.netSimulator",
      "title": "netSimulator S3 methods",
      "topics": [
        "plot.netSimulator",
        "plot.replicationSimulator",
        "print.netSimulator",
        "print.replicationSimulator",
        "summary.netSimulator",
        "summary.replicationSimulator"
      ]
    },
    {
      "page": "null",
      "title": "Returns NULL",
      "topics": [
        "null"
      ]
    },
    {
      "page": "plot.bootnet",
      "title": "Plots bootnet results",
      "topics": [
        "plot.bootnet"
      ]
    },
    {
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      "title": "Plot method for bootnetResult objects",
      "topics": [
        "plot.bootnetResult"
      ]
    },
    {
      "page": "print.bootnet",
      "title": "Print method for bootnet and bootnetResult objects",
      "topics": [
        "print.bootnet",
        "print.bootnetResult",
        "summary.bootnetResult"
      ]
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    {
      "page": "summary.bootnet",
      "title": "Summarize bootnet results",
      "topics": [
        "summary.bootnet"
      ]
    },
    {
      "page": "transformation",
      "title": "Data transformation functions",
      "topics": [
        "quantile_transformation",
        "rank_transformation"
      ]
    }
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