{
  "_id": "6ace07c2a14063b82c3aeb2a",
  "Package": "egor",
  "Type": "Package",
  "Title": "Import and Analyse Ego-Centered Network Data",
  "Version": "1.25.10",
  "Date": "2025-10-27",
  "Language": "en-US",
  "Authors@R": "c(\nperson(\"Till\", \"Krenz\", email = \"egor@tillt.net\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Pavel N.\", \"Krivitsky\", email=\"pavel@statnet.org\",\nrole=c(\"aut\")),\nperson(\"Raffaele\", \"Vacca\", email = \"r.vacca@ufl.edu\",\nrole = c(\"aut\")),\nperson(given = \"Michal\",\nfamily = \"Bojanowski\",\nrole = \"aut\",\nemail = \"michal2992@gmail.com\",\ncomment = c(ORCID = \"0000-0001-7503-852X\")),\nperson(\"Markus\", \"Gamper\", email = \"m.gamper@uni-koeln.de\",\nrole = c(\"ctb\")),\nperson(\"Andreas\", \"Herz\", email = \"herzand@uni-hildesheim.de\",\nrole = c(\"aut\")),\nperson(\"Christopher\", \"McCarty\", email = \"ufchris@ufl.edu\",\nrole = c(\"ctb\")))",
  "Description": "Tools for importing, analyzing and visualizing\nego-centered network data. Supports several data formats,\nincluding the export formats of 'EgoNet', 'EgoWeb 2.0' and\n'openeddi'. An interactive (shiny) app for the intuitive\nvisualization of ego-centered networks is provided. Also\nincluded are procedures for creating and visualizing Clustered\nGraphs (Lerner 2008 <DOI:10.1109/PACIFICVIS.2008.4475458>).",
  "URL": "https://github.com/tilltnet/egor, https://egor.tillt.net/",
  "BugReports": "https://github.com/tilltnet/egor/issues",
  "License": "AGPL-3",
  "VignetteBuilder": "knitr",
  "RoxygenNote": "7.3.3",
  "Roxygen": "list(markdown = TRUE)",
  "LazyData": "true",
  "Encoding": "UTF-8",
  "Config/pak/sysreqs": "libglpk-dev make libicu-dev libxml2-dev",
  "Repository": "https://tilltnet.r-universe.dev",
  "Date/Publication": "2026-03-16 23:19:54 UTC",
  "RemoteUrl": "https://github.com/tilltnet/egor",
  "RemoteRef": "HEAD",
  "RemoteSha": "687ea063867c99691762f3c744ce565f8637df23",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-13 10:23:18 UTC",
    "User": "root"
  },
  "Author": "Till Krenz [aut, cre],\nPavel N. Krivitsky [aut],\nRaffaele Vacca [aut],\nMichal Bojanowski [aut] (ORCID:\n<https://orcid.org/0000-0001-7503-852X>),\nMarkus Gamper [ctb],\nAndreas Herz [aut],\nChristopher McCarty [ctb]",
  "Maintainer": "Till Krenz <egor@tillt.net>",
  "_user": "tilltnet",
  "_type": "src",
  "_file": "egor_1.25.10.tar.gz",
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  "_filesize": 4136777,
  "_sha256": "35f7d0f2de93997a3246c1cadc3779c5a2a65adc65464bc0e5d600c4b2ce7499",
  "_expires": "2027-01-21T10:28:16.000Z",
  "_created": "2026-10-13T10:23:18.000Z",
  "_published": "2026-10-13T10:28:18.808Z",
  "_buildurl": "https://github.com/r-universe/tilltnet/actions/runs/38382613225",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_jobs": [
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    "author": "tilltnet <github@tillt.net>",
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    "message": "fix `as_igraph()` and `as_network()` return name list where names are egoIDs; closes #103\n",
    "time": 1773703194
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  "_maintainer": {
    "name": "Till Krenz",
    "email": "egor@tillt.net"
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      "version": ">= 4.1.0",
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    },
    {
      "package": "tibble",
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    },
    {
      "package": "tidygraph",
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    {
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    {
      "package": "network",
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    {
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  "_owner": "tilltnet",
  "_selfowned": true,
  "_usedby": 2,
  "_updates": [
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      "week": "2025-42",
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      "week": "2025-44",
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    },
    {
      "week": "2026-12",
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  ],
  "_tags": [],
  "_topics": [
    "ego-centered",
    "egonet",
    "egor",
    "network-analysis",
    "sna"
  ],
  "_stars": 28,
  "_contributors": [
    {
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    "name": "Till Krenz",
    "followers": 21
  },
  "_downloads": {
    "count": 823,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/egor"
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  "_devurl": "https://github.com/tilltnet/egor",
  "_pkgdown": "https://egor.tillt.net/",
  "_searchresults": 102,
  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/egor.html",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md"
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  "_homeurl": "https://github.com/tilltnet/egor",
  "_realowner": "tilltnet",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.18.06-02",
      "date": "2018-07-02"
    },
    {
      "version": "0.18.08-02",
      "date": "2018-08-20"
    },
    {
      "version": "0.19.1",
      "date": "2019-02-01"
    },
    {
      "version": "0.19.10",
      "date": "2019-10-08"
    },
    {
      "version": "0.20.01",
      "date": "2020-01-27"
    },
    {
      "version": "0.20.03",
      "date": "2020-03-03"
    },
    {
      "version": "0.20.06",
      "date": "2020-06-12"
    },
    {
      "version": "0.21.01",
      "date": "2021-01-16"
    },
    {
      "version": "0.21.02",
      "date": "2021-02-12"
    },
    {
      "version": "1.21.6",
      "date": "2021-06-11"
    },
    {
      "version": "1.21.7",
      "date": "2021-07-01"
    },
    {
      "version": "1.21.10",
      "date": "2021-10-07"
    },
    {
      "version": "1.22.1",
      "date": "2022-01-14"
    },
    {
      "version": "1.22.5",
      "date": "2022-05-14"
    },
    {
      "version": "1.22.12",
      "date": "2022-12-20"
    },
    {
      "version": "1.23.3",
      "date": "2023-03-16"
    },
    {
      "version": "1.24.2",
      "date": "2024-02-02"
    },
    {
      "version": "1.25.10",
      "date": "2025-10-31"
    }
  ],
  "_exports": [
    "aaties_by_ego",
    "activate",
    "alter_design",
    "alter_design<-",
    "alters_by_ego",
    "alts_diversity_count",
    "alts_diversity_entropy",
    "append_cols",
    "append_rows",
    "as_aaties_df",
    "as_aaties_survey",
    "as_alters_df",
    "as_alters_survey",
    "as_egos_df",
    "as_egos_survey",
    "as_igraph",
    "as_nested_egor",
    "as_network",
    "as.egor",
    "clustered_graphs",
    "comp_ei",
    "comp_ply",
    "composition",
    "count_dyads",
    "create_edge_names_wide",
    "din_page_dist",
    "dyad.poss",
    "dyads_possible_between_groups",
    "ego_constraint",
    "ego_density",
    "ego_design",
    "ego_design<-",
    "egor",
    "egor_options",
    "egor_vis_app",
    "EI",
    "has_ego_design",
    "layout_egogram",
    "make_egor",
    "onefile_to_egor",
    "plot_ego_graphs",
    "plot_egograms",
    "plot_egor",
    "read_egonet",
    "read_egoweb",
    "read_openeddi",
    "rowlist",
    "sanitize.wide.edges",
    "strip_ego_design",
    "threefiles_to_egor",
    "trim_aaties",
    "trim_alters",
    "twofiles_to_egor",
    "vis_clustered_graphs"
  ],
  "_datasets": [
    {
      "name": "aaties32",
      "title": "32 sets of randomly created alter-alter ties belonging to ego-centered networks",
      "object": "aaties32",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        ".EGOID",
        ".SRCID",
        ".TGTID",
        "weight"
      ],
      "rows": 1056,
      "table": true,
      "tojson": true
    },
    {
      "name": "allbus_2010_simulated",
      "title": "Simulated Allbus 2010 Data",
      "object": "allbus_2010_simulated",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [],
      "rows": 100,
      "table": true,
      "tojson": false
    },
    {
      "name": "alter_df",
      "title": "Transnational personal communities of social support of German migrants in Great Britain",
      "object": "alter_df",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "egoID",
        "alterID",
        "selected",
        "advice",
        "help",
        "talk",
        "money",
        "hobby",
        "conflict",
        "rely",
        "livinguk",
        "sex",
        "age",
        "cont_partner",
        "cont_parent",
        "cont_child",
        "cont_sibling",
        "cont_kin",
        "cont_colleague",
        "cont_friend",
        "cont_neighbour",
        "citizenship",
        "distance",
        "duration",
        "intensity"
      ],
      "rows": 385,
      "table": true,
      "tojson": true
    },
    {
      "name": "alters32",
      "title": "32 sets of randomly created alters belonging to ego-centered networks",
      "object": "alters32",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        ".ALTID",
        ".EGOID",
        "sex",
        "age",
        "age.years",
        "country",
        "income"
      ],
      "rows": 384,
      "table": true,
      "tojson": true
    },
    {
      "name": "ego_df",
      "title": "Transnational personal communities of social support of German migrants in Great Britain",
      "object": "ego_df",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "egoID",
        "duration",
        "inhabitants",
        "birthyear",
        "sex",
        "maritalstatus",
        "children",
        "nochildren",
        "skills",
        "education",
        "workperweek",
        "b10_1_2",
        "b10_1_3",
        "b10_2_3",
        "b10_1_4",
        "b10_2_4",
        "b10_3_4",
        "b10_1_5",
        "b10_2_5",
        "b10_3_5",
        "b10_4_5",
        "b10_1_6",
        "b10_2_6",
        "b10_3_6",
        "b10_4_6",
        "b10_5_6",
        "b10_1_7",
        "b10_2_7",
        "b10_3_7",
        "b10_4_7",
        "b10_5_7",
        "b10_6_7",
        "b10_1_8",
        "b10_2_8",
        "b10_3_8",
        "b10_4_8",
        "b10_5_8",
        "b10_6_8",
        "b10_7_8"
      ],
      "rows": 50,
      "table": true,
      "tojson": true
    },
    {
      "name": "egor32",
      "title": "32 randomly created ego-centered networks stored as an egor object",
      "object": "egor32",
      "class": [
        "egor",
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "egos32",
      "title": "32 randomly created egos belonging to ego-centered networks",
      "object": "egos32",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        ".EGOID",
        "sex",
        "age",
        "age.years",
        "country",
        "income"
      ],
      "rows": 32,
      "table": true,
      "tojson": true
    },
    {
      "name": "gss2004",
      "title": "A selective subset of GSS 2004 data",
      "object": "gss2004",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "id",
        "vpsu",
        "vstrat",
        "wtssall",
        "age",
        "race",
        "sex",
        "marital",
        "numgiven",
        "age1",
        "age2",
        "age3",
        "age4",
        "age5",
        "intrace1",
        "race1",
        "race2",
        "race3",
        "race4",
        "race5",
        "intrace2",
        "intrace3",
        "sexsex5",
        "sex1",
        "sex2",
        "sex3",
        "sex4",
        "sex5",
        "spouse1",
        "spouse2",
        "spouse3",
        "spouse4",
        "spouse5",
        "close12",
        "close23",
        "close13",
        "close14",
        "close24",
        "close34",
        "close15",
        "close35",
        "close45",
        "close25"
      ],
      "rows": 594,
      "table": true,
      "tojson": true
    },
    {
      "name": "transnat",
      "title": "Transnational personal communities of social support of German migrants in Great Britain",
      "object": "transnat",
      "class": [
        "egor",
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "aaties32",
      "title": "32 sets of randomly created alter-alter ties belonging to ego-centered networks",
      "topics": [
        "aaties32"
      ]
    },
    {
      "page": "activate.egor",
      "title": "Activate ego, alter or alter-alter tie data level of an egor dataset",
      "topics": [
        "activate.egor"
      ]
    },
    {
      "page": "allbus_2010_simulated",
      "title": "Simulated Allbus 2010 Data",
      "topics": [
        "allbus_2010_simulated"
      ]
    },
    {
      "page": "alter_design",
      "title": "Set and query the alter nomination design",
      "topics": [
        "alter_design",
        "alter_design.egor",
        "alter_design<-",
        "alter_design<-.egor"
      ]
    },
    {
      "page": "alters32",
      "title": "32 sets of randomly created alters belonging to ego-centered networks",
      "topics": [
        "alters32"
      ]
    },
    {
      "page": "alts_diversity_count",
      "title": "Calculate diversity measures on an 'egor' object.",
      "topics": [
        "alts_diversity_count",
        "alts_diversity_entropy"
      ]
    },
    {
      "page": "append_egor",
      "title": "Append rows/columns to ego, alter or aatie data",
      "topics": [
        "append_cols",
        "append_egor",
        "append_rows"
      ]
    },
    {
      "page": "as_igraph",
      "title": "Convert 'egor' object to 'network' or 'igraph' objects",
      "topics": [
        "as.igraph.egor",
        "as.network.egor",
        "as_igraph",
        "as_network"
      ]
    },
    {
      "page": "as_tibble.egor",
      "title": "Extract ego, alter, and alter-alter tables from an 'egor' object.",
      "topics": [
        "as_aaties_df",
        "as_aaties_survey",
        "as_alters_df",
        "as_alters_survey",
        "as_egos_df",
        "as_egos_survey",
        "as_survey.egor",
        "as_tibble.egor"
      ]
    },
    {
      "page": "egor",
      "title": "egor - a data class for ego-centered network data.",
      "topics": [
        "as.egor",
        "as.egor.list",
        "as.egor.nested_egor",
        "egor"
      ]
    },
    {
      "page": "clustered_graphs",
      "title": "Cluster ego-centered networks by a grouping factor",
      "topics": [
        "clustered_graphs",
        "clustered_graphs.data.frame",
        "clustered_graphs.egor",
        "clustered_graphs.list"
      ]
    },
    {
      "page": "comp_ei",
      "title": "Calculate the EI-Indices of an 'egor' object as a measurement of ego-alter homophily",
      "topics": [
        "comp_ei"
      ]
    },
    {
      "page": "comp_ply",
      "title": "Calculate custom compositional measures on an 'egor' object",
      "topics": [
        "comp_ply"
      ]
    },
    {
      "page": "composition",
      "title": "Calculate the composition of alter attributes in an 'egor' object",
      "topics": [
        "composition"
      ]
    },
    {
      "page": "count_dyads",
      "title": "Count attribute combinations of dyads in ego-centered networks",
      "topics": [
        "count_dyads"
      ]
    },
    {
      "page": "ego_constraint",
      "title": "Calculate Burt constraint for the egos of ego-centered networks",
      "topics": [
        "ego_constraint"
      ]
    },
    {
      "page": "ego_density",
      "title": "Calculate the relationship density in ego-centered networks",
      "topics": [
        "ego_density",
        "ego_density.egor"
      ]
    },
    {
      "page": "ego_design",
      "title": "Set and query the ego sampling design",
      "topics": [
        "ego_design",
        "ego_design.egor",
        "ego_design.nested_egor",
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      "page": "egor_options",
      "title": "Display names and values of global egor options.",
      "topics": [
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      "page": "egor_vis_app",
      "title": "'egor' Network Visualization App",
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      "page": "egor32",
      "title": "32 randomly created ego-centered networks stored as an egor object",
      "topics": [
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      "page": "egos32",
      "title": "32 randomly created egos belonging to ego-centered networks",
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      "page": "EI",
      "title": "Calculate EI-Index of ego networks",
      "topics": [
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      "page": "extract_egos_and_return",
      "title": "This extracts egos from igraph/network data if they are named in 'ego_name' and returns an egor object",
      "topics": [
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      "page": "helper",
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      "page": "layout_egogram",
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      "page": "make_egor",
      "title": "Generate random ego-centered-network data.",
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      "page": "onefile_to_egor",
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    {
      "page": "plot_egor",
      "title": "Plotting _egor_ objects",
      "topics": [
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      "title": "Read ego-centered network data exported with EgoNet software as an 'egor' object",
      "topics": [
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      "title": "Returns results inheriting 'srvyr' design if the input egor object has a an 'ego_design' and global option \"egor.return.results.with.design\" is 'TRUE' or 'NULL'.",
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      "topics": [
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      "topics": [
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      "page": "trim_aaties",
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      "page": "trim_alters",
      "title": "Trims alters that are missing/ deleted from ego data.",
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      "page": "vis_clustered_graphs",
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      "title": "'weights.egor()' extracts the (relative) sampling weights of each ego in the dataset.",
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