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  "Package": "rem",
  "Type": "Package",
  "Title": "Relational Event Models (REM)",
  "Version": "1.3.1",
  "Date": "2018-10-24",
  "Author": "Laurence Brandenberger",
  "Maintainer": "Laurence Brandenberger <lbrandenberger@ethz.ch>",
  "Description": "Calculate endogenous network effects in event sequences\nand fit relational event models (REM): Using network event\nsequences (where each tie between a sender and a target in a\nnetwork is time-stamped), REMs can measure how networks form\nand evolve over time. Endogenous patterns such as popularity\neffects, inertia, similarities, cycles or triads can be\ncalculated and analyzed over time.",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-06-03 07:04:26 UTC",
    "User": "root"
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  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2018-10-25 12:10:24 UTC",
  "RemoteUrl": "https://github.com/cran/rem",
  "RemoteRef": "HEAD",
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  "MD5sum": "125681d5d4d7bbdb21a74b189512688c",
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    "author": "Laurence Brandenberger <lbrandenberger@ethz.ch>",
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    "message": "version 1.3.1\n",
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      "package": "Rcpp",
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  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_userbio": {
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    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 50,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/rem"
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  "_topics": [
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  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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    "manual.pdf"
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  "_realowner": "cran",
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      "date": "2017-06-23"
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    "degreeStat",
    "eventSequence",
    "fourCycleStat",
    "inertiaStat",
    "reciprocityStat",
    "similarityStat",
    "timeToEvent",
    "triadStat"
  ],
  "_help": [
    {
      "page": "rem-package",
      "title": "Fit Relational Event Models (REM)",
      "topics": [
        "rem-package",
        "relational event model",
        "relational-event-model",
        "rem"
      ]
    },
    {
      "page": "createRemDataset",
      "title": "Create REM data set with dynamic risk sets",
      "topics": [
        "createRemDataset"
      ]
    },
    {
      "page": "degreeStat",
      "title": "Calculate (in/out)-degree statistics",
      "topics": [
        "degree",
        "degreeStat",
        "indegree",
        "outdegree"
      ]
    },
    {
      "page": "eventSequence",
      "title": "Create event sequence",
      "topics": [
        "event sequence",
        "event.sequence",
        "eventSequence"
      ]
    },
    {
      "page": "fourCycleStat",
      "title": "Calculate four cycle statistics",
      "topics": [
        "fourCycle",
        "fourCycleStat"
      ]
    },
    {
      "page": "inertiaStat",
      "title": "Calculate inertia statistics",
      "topics": [
        "inertia",
        "inertiaStat"
      ]
    },
    {
      "page": "reciprocityStat",
      "title": "Calculate reciprocity statistics",
      "topics": [
        "reciprocity",
        "reciprocityStat"
      ]
    },
    {
      "page": "similarityStat",
      "title": "Calculate similarity statistics",
      "topics": [
        "similarity",
        "similarityStat"
      ]
    },
    {
      "page": "timeToEvent",
      "title": "Calculate the time-to-next-event or the time-since-date for a REM data set.",
      "topics": [
        "timeToEvent"
      ]
    },
    {
      "page": "triadStat",
      "title": "Calculate triad statistics",
      "topics": [
        "triad",
        "triadStat"
      ]
    }
  ],
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    "doParallel",
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    "iterators",
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      "homepage": "http://gcc.gnu.org/",
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  "_score": 1,
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  "_nocasepkg": "rem",
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