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  "Title": "Fit, Simulate and Diagnose Exponential-Family Models for\nNetworks",
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      "date": "2010-01-14"
    },
    {
      "version": "2.2-3",
      "date": "2010-04-05"
    },
    {
      "version": "2.2-4",
      "date": "2010-04-22"
    },
    {
      "version": "2.2-5",
      "date": "2010-07-24"
    },
    {
      "version": "2.2-6",
      "date": "2010-11-03"
    },
    {
      "version": "2.2-7",
      "date": "2010-11-23"
    },
    {
      "version": "2.3",
      "date": "2011-02-03"
    },
    {
      "version": "2.4",
      "date": "2011-05-27"
    },
    {
      "version": "2.4-2",
      "date": "2011-06-15"
    },
    {
      "version": "2.4-3",
      "date": "2011-09-19"
    },
    {
      "version": "3.0-1",
      "date": "2012-03-08"
    },
    {
      "version": "3.0-3",
      "date": "2012-05-28"
    },
    {
      "version": "3.1-0",
      "date": "2013-04-25"
    },
    {
      "version": "3.1.1",
      "date": "2013-11-28"
    },
    {
      "version": "3.1.2",
      "date": "2014-01-31"
    },
    {
      "version": "3.1.3",
      "date": "2014-07-19"
    },
    {
      "version": "3.2.3",
      "date": "2014-12-11"
    },
    {
      "version": "3.2.4",
      "date": "2014-12-14"
    },
    {
      "version": "3.4.0",
      "date": "2015-06-16"
    },
    {
      "version": "3.5.1",
      "date": "2015-10-24"
    },
    {
      "version": "3.6.0",
      "date": "2016-03-25"
    },
    {
      "version": "3.6.1",
      "date": "2017-01-05"
    },
    {
      "version": "3.7.0",
      "date": "2017-03-20"
    },
    {
      "version": "3.7.1",
      "date": "2017-03-21"
    },
    {
      "version": "3.8.0",
      "date": "2017-08-20"
    },
    {
      "version": "3.9.4",
      "date": "2018-08-16"
    },
    {
      "version": "3.10.1",
      "date": "2019-05-14"
    },
    {
      "version": "3.10.4",
      "date": "2019-06-10"
    },
    {
      "version": "3.11.0",
      "date": "2020-10-14"
    },
    {
      "version": "4.0.0",
      "date": "2021-06-14"
    },
    {
      "version": "4.0.1",
      "date": "2021-06-21"
    },
    {
      "version": "4.1.2",
      "date": "2021-07-27"
    },
    {
      "version": "4.2.1",
      "date": "2022-05-10"
    },
    {
      "version": "4.2.2",
      "date": "2022-06-01"
    },
    {
      "version": "4.2.3",
      "date": "2022-10-02"
    },
    {
      "version": "4.3.1",
      "date": "2022-11-07"
    },
    {
      "version": "4.3.2",
      "date": "2022-11-24"
    },
    {
      "version": "4.4.0",
      "date": "2023-01-27"
    },
    {
      "version": "4.5.0",
      "date": "2023-05-28"
    },
    {
      "version": "4.6.0",
      "date": "2023-12-18"
    },
    {
      "version": "4.7.1",
      "date": "2024-10-07"
    },
    {
      "version": "4.7.5",
      "date": "2024-11-06"
    },
    {
      "version": "4.8.1",
      "date": "2025-01-21"
    },
    {
      "version": "4.9.0",
      "date": "2025-06-10"
    },
    {
      "version": "4.9.0.1",
      "date": "2025-08-26"
    },
    {
      "version": "4.10.1",
      "date": "2025-08-27"
    },
    {
      "version": "4.11.0",
      "date": "2025-12-22"
    },
    {
      "version": "4.12.0",
      "date": "2026-02-18"
    }
  ],
  "_exports": [
    ".simulate_formula.network",
    "%ergmlhs%",
    "%ergmlhs%<-",
    "approx.hotelling.diff.test",
    "as.ergm_model",
    "as.rlebdm",
    "call.ErgmConstraint",
    "call.ErgmReference",
    "call.ErgmTerm",
    "check.ErgmTerm",
    "COLLAPSE_SMALLEST",
    "control.ergm",
    "control.ergm.bridge",
    "control.ergm3",
    "control.gof.ergm",
    "control.gof.formula",
    "control.logLik.ergm",
    "control.san",
    "control.simulate",
    "control.simulate.ergm",
    "control.simulate.formula",
    "control.simulate.formula.ergm",
    "convert_ergmlhs",
    "degreedist",
    "enformulate.curved",
    "ergm",
    "ergm_attr_levels",
    "ergm_bd_init",
    "ergm_conlist",
    "ergm_constrain_changestats",
    "ergm_Cstate_clear",
    "ergm_cutoff_message",
    "ergm_dyadgen_select",
    "ergm_edgecov_args",
    "ergm_flatten_conterm_list",
    "ergm_get_vattr",
    "ERGM_GET_VATTR_MULTIPLE_TYPES",
    "ergm_GWDECAY",
    "ergm_Init_abort",
    "ergm_Init_inform",
    "ergm_Init_message",
    "ergm_Init_stop",
    "ergm_Init_try",
    "ergm_Init_warn",
    "ergm_Init_warning",
    "ergm_keyword",
    "ERGM_LEVELS_SPEC",
    "ergm_MCMC_sample",
    "ergm_MCMC_slave",
    "ergm_mk_std_op_namewrap",
    "ergm_model",
    "ergm_most_frequent_n",
    "ergm_no_ext.encode",
    "ergm_plot.mcmc.list",
    "ergm_preprocess_response",
    "ergm_propagate_ext.encode",
    "ergm_proposal",
    "ergm_proposal_table",
    "ergm_SAN_slave",
    "ergm_state",
    "ERGM_STATE_C_CHANGED",
    "ergm_state_cache",
    "ERGM_STATE_R_CHANGED",
    "ergm_state_receive",
    "ERGM_STATE_RECONCILED",
    "ergm_state_send",
    "ergm_symmetrize",
    "ERGM_VATTR_SPEC",
    "ERGM_VATTR_SPEC_NULL",
    "ergm.allstats",
    "ergm.bridge.0.llk",
    "ergm.bridge.dindstart.llk",
    "ergm.bridge.llr",
    "ergm.design",
    "ergm.estfun",
    "ergm.eta",
    "ergm.etagrad",
    "ergm.etagradmult",
    "ergm.etagradmultt",
    "ergm.exact",
    "ergm.geodistdist",
    "ergm.geodistn",
    "ergm.getCluster",
    "ergm.getnetwork",
    "ergm.godfather",
    "ergm.pl",
    "ergm.restartCluster",
    "ergm.stopCluster",
    "ergmMPLE",
    "fix.curved",
    "get.MT_terms",
    "get.node.attr",
    "geweke.diag.mv",
    "gof",
    "is.curved",
    "is.dyad.independent",
    "is.ergm",
    "is.ergm_state",
    "is.valued",
    "LARGEST",
    "logLikNull",
    "mcmc.diagnostics",
    "network.list",
    "nparam",
    "nthreads",
    "nvattr.copy.network",
    "param_names",
    "param_names<-",
    "rank_test.ergm",
    "rlebdm",
    "san",
    "search.ergmAuxiliaries",
    "search.ergmConstraints",
    "search.ergmHints",
    "search.ergmProposals",
    "search.ergmReferences",
    "search.ergmTerms",
    "set.MT_terms",
    "shrink_into_CH",
    "simulate_formula",
    "SMALLEST",
    "snctrl",
    "spectrum0.mvar",
    "summary_formula",
    "to_ergm_Cdouble",
    "update_network",
    "wrap.ergm_model",
    "wtd.median"
  ],
  "_datasets": [
    {
      "name": "cohab_MixMat",
      "title": "Target statistics and model fit to a hypothetical 50,000-node network population with 50,000 nodes based on egocent",
      "object": "cohab",
      "file": "cohab.RData",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "B",
        "BI",
        "H",
        "HI",
        "W"
      ],
      "rows": 5,
      "table": true,
      "tojson": true
    },
    {
      "name": "cohab_PopWts",
      "title": "Target statistics and model fit to a hypothetical 50,000-node network population with 50,000 nodes based on egocent",
      "object": "cohab",
      "file": "cohab.RData",
      "class": [
        "data.frame"
      ],
      "fields": [
        "weight",
        "age",
        "race",
        "sex",
        "sex.ident",
        "othr.net.deg",
        "agesq",
        "sqrt.age.adj"
      ],
      "rows": 655,
      "table": true,
      "tojson": true
    },
    {
      "name": "cohab_TargetStats",
      "title": "Target statistics and model fit to a hypothetical 50,000-node network population with 50,000 nodes based on egocent",
      "object": "cohab",
      "file": "cohab.RData",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "ecoli1",
      "title": "Two versions of an E. Coli network dataset",
      "object": "ecoli",
      "file": "ecoli.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "ecoli2",
      "title": "Two versions of an E. Coli network dataset",
      "object": "ecoli",
      "file": "ecoli.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "faux.desert.high",
      "title": "Faux desert High School as a network object",
      "object": "faux.desert.high",
      "file": "faux.desert.high.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "faux.dixon.high",
      "title": "Faux dixon High School as a network object",
      "object": "faux.dixon.high",
      "file": "faux.dixon.high.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "faux.magnolia.high",
      "title": "Goodreau's Faux Magnolia High School as a network object",
      "object": "faux.magnolia.high",
      "file": "faux.magnolia.high.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "faux.mesa.high",
      "title": "Goodreau's Faux Mesa High School as a network object",
      "object": "faux.mesa.high",
      "file": "faux.mesa.high.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "flobusiness",
      "title": "Florentine Family Marriage and Business Ties Data as a \"network\" object",
      "object": "florentine",
      "file": "florentine.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "flomarriage",
      "title": "Florentine Family Marriage and Business Ties Data as a \"network\" object",
      "object": "florentine",
      "file": "florentine.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "g4",
      "title": "Goodreau's four node network as a \"network\" object",
      "object": "g4",
      "file": "g4.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "kapferer",
      "title": "Kapferer's tailor shop data",
      "object": "kapferer",
      "file": "kapferer.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "kapferer2",
      "title": "Kapferer's tailor shop data",
      "object": "kapferer",
      "file": "kapferer.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "molecule",
      "title": "Synthetic network with 20 nodes and 28 edges",
      "object": "molecule",
      "file": "molecule.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sampdlk1",
      "title": "Longitudinal and cumulative networks of positive and negative affect in a monastery",
      "object": "samplk",
      "file": "samplk.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sampdlk2",
      "title": "Longitudinal and cumulative networks of positive and negative affect in a monastery",
      "object": "samplk",
      "file": "samplk.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "sampdlk3",
      "title": "Longitudinal and cumulative networks of positive and negative affect in a monastery",
      "object": "samplk",
      "file": "samplk.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "samplike",
      "title": "Longitudinal and cumulative networks of positive and negative affect in a monastery",
      "object": "sampson",
      "file": "sampson.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "samplk1",
      "title": "Longitudinal and cumulative networks of positive and negative affect in a monastery",
      "object": "samplk",
      "file": "samplk.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "samplk2",
      "title": "Longitudinal and cumulative networks of positive and negative affect in a monastery",
      "object": "samplk",
      "file": "samplk.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "samplk3",
      "title": "Longitudinal and cumulative networks of positive and negative affect in a monastery",
      "object": "samplk",
      "file": "samplk.RData",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "ergm-package",
      "title": "ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks",
      "topics": [
        "ergm-package"
      ]
    },
    {
      "page": "absdiff-ergmTerm-9fc8de5a",
      "title": "Absolute difference in nodal attribute",
      "concept": [
        "directed",
        "dyad-independent",
        "quantitative nodal attribute",
        "undirected"
      ],
      "topics": [
        "absdiff-ergmTerm",
        "InitErgmTerm.absdiff",
        "InitWtErgmTerm.absdiff"
      ]
    },
    {
      "page": "absdiffcat-ergmTerm-5b2a4b77",
      "title": "Categorical absolute difference in nodal attribute",
      "concept": [
        "categorical nodal attribute",
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "absdiffcat-ergmTerm",
        "InitErgmTerm.absdiffcat",
        "InitWtErgmTerm.absdiffcat"
      ]
    },
    {
      "page": "altkstar-ergmTerm-201bf7a6",
      "title": "Alternating k-star",
      "concept": [
        "categorical nodal attribute",
        "curved",
        "undirected"
      ],
      "topics": [
        "altkstar-ergmTerm",
        "InitErgmTerm.altkstar"
      ]
    },
    {
      "page": "anova.ergm",
      "title": "ANOVA for ERGM Fits",
      "topics": [
        "anova.ergm",
        "anova.ergmlist"
      ]
    },
    {
      "page": "approx.hotelling.diff.test",
      "title": "Approximate Hotelling T^2-Test for One or Two Population Means",
      "topics": [
        "approx.hotelling.diff.test"
      ]
    },
    {
      "page": "as.network.numeric",
      "title": "Create a Simple Random network of a Given Size",
      "topics": [
        "as.network.numeric"
      ]
    },
    {
      "page": "asymmetric-ergmTerm-da585369",
      "title": "Asymmetric dyads",
      "concept": [
        "directed",
        "dyad-independent",
        "triad-related"
      ],
      "topics": [
        "asymmetric-ergmTerm",
        "InitErgmTerm.asymmetric"
      ]
    },
    {
      "page": "atleast-ergmTerm-1b0585b0",
      "title": "Number of dyads with values greater than or equal to a threshold",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "atleast-ergmTerm",
        "InitWtErgmTerm.atleast"
      ]
    },
    {
      "page": "atmost-ergmTerm-145d3def",
      "title": "Number of dyads with values less than or equal to a threshold",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "atmost-ergmTerm",
        "InitWtErgmTerm.atmost"
      ]
    },
    {
      "page": "attrcov-ergmTerm-a2d6aeef",
      "title": "Edge covariate by attribute pairing",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "attrcov-ergmTerm",
        "InitErgmTerm.attrcov",
        "InitWtErgmTerm.attrcov"
      ]
    },
    {
      "page": "B-ergmTerm-1e2e5333",
      "title": "Wrap binary terms for use in valued models",
      "concept": [
        "operator"
      ],
      "topics": [
        "B-ergmTerm",
        "InitWtErgmTerm.B"
      ]
    },
    {
      "page": "b1concurrent-ergmTerm-b6d8305e",
      "title": "Concurrent node count for the first mode in a bipartite network",
      "concept": [
        "bipartite",
        "categorical nodal attribute",
        "undirected"
      ],
      "topics": [
        "b1concurrent-ergmTerm",
        "InitErgmTerm.b1concurrent"
      ]
    },
    {
      "page": "b1cov-ergmTerm-a16e8340",
      "title": "Main effect of a covariate for the first mode in a bipartite network",
      "concept": [
        "bipartite",
        "dyad-independent",
        "frequently-used",
        "quantitative nodal attribute",
        "undirected"
      ],
      "topics": [
        "b1cov-ergmTerm",
        "InitErgmTerm.b1cov",
        "InitWtErgmTerm.b1cov"
      ]
    },
    {
      "page": "b1covrange-ergmTerm-24a903d2",
      "title": "Range of covariate values for neighbors of a mode-1 node",
      "concept": [
        "bipartite",
        "quantitative nodal attribute"
      ],
      "topics": [
        "b1covrange-ergmTerm",
        "InitErgmTerm.b1covrange"
      ]
    },
    {
      "page": "b1degrange-ergmTerm-ae4dbc10",
      "title": "Degree range for the first mode in a bipartite network",
      "concept": [
        "bipartite",
        "undirected"
      ],
      "topics": [
        "b1degrange-ergmTerm",
        "InitErgmTerm.b1degrange"
      ]
    },
    {
      "page": "b1degree-ergmTerm-b23eca4d",
      "title": "Degree for the first mode in a bipartite network",
      "concept": [
        "bipartite",
        "categorical nodal attribute",
        "frequently-used",
        "undirected"
      ],
      "topics": [
        "b1degree-ergmTerm",
        "InitErgmTerm.b1degree"
      ]
    },
    {
      "page": "b1degrees-ergmConstraint-34a58d68",
      "title": "Preserve the actor degree for bipartite networks",
      "concept": [
        "bipartite"
      ],
      "topics": [
        "b1degrees-ergmConstraint",
        "InitErgmConstraint.b1degrees"
      ]
    },
    {
      "page": "b1dsp-ergmTerm-f3ebeba1",
      "title": "Dyadwise shared partners for dyads in the first bipartition",
      "concept": [
        "bipartite",
        "undirected"
      ],
      "topics": [
        "b1dsp-ergmTerm",
        "InitErgmTerm.b1dsp"
      ]
    },
    {
      "page": "b1factor-ergmTerm-ad0d3a93",
      "title": "Factor attribute effect for the first mode in a bipartite network",
      "concept": [
        "bipartite",
        "categorical nodal attribute",
        "dyad-independent",
        "frequently-used",
        "undirected"
      ],
      "topics": [
        "b1factor-ergmTerm",
        "InitErgmTerm.b1factor",
        "InitWtErgmTerm.b1factor"
      ]
    },
    {
      "page": "b1factordistinct-ergmTerm-f897b95c",
      "title": "Number of distinct neighbor types for the first node",
      "concept": [
        "bipartite",
        "categorical nodal attribute"
      ],
      "topics": [
        "b1factordistinct-ergmTerm",
        "InitErgmTerm.b1factordistinct"
      ]
    },
    {
      "page": "b1mindegree-ergmTerm-f69f807c",
      "title": "Minimum degree for the first mode in a bipartite network",
      "concept": [
        "bipartite",
        "undirected"
      ],
      "topics": [
        "b1mindegree-ergmTerm",
        "InitErgmTerm.b1mindegree"
      ]
    },
    {
      "page": "b1nodematch-ergmTerm-110b470e",
      "title": "Nodal attribute-based homophily effect for the first mode in a bipartite network",
      "concept": [
        "bipartite",
        "categorical nodal attribute",
        "dyad-independent",
        "frequently-used",
        "undirected"
      ],
      "topics": [
        "b1nodematch-ergmTerm",
        "InitErgmTerm.b1nodematch"
      ]
    },
    {
      "page": "b1sociality-ergmTerm-4c85e6e8",
      "title": "Degree",
      "concept": [
        "bipartite",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "b1sociality-ergmTerm",
        "InitErgmTerm.b1sociality",
        "InitWtErgmTerm.b1sociality"
      ]
    },
    {
      "page": "b1star-ergmTerm-24b65fe7",
      "title": "k-stars for the first mode in a bipartite network",
      "concept": [
        "bipartite",
        "categorical nodal attribute",
        "undirected"
      ],
      "topics": [
        "b1star-ergmTerm",
        "InitErgmTerm.b1star"
      ]
    },
    {
      "page": "b1starmix-ergmTerm-e8fb79b6",
      "title": "Mixing matrix for k-stars centered on the first mode of a bipartite network",
      "concept": [
        "bipartite",
        "categorical nodal attribute",
        "undirected"
      ],
      "topics": [
        "b1starmix-ergmTerm",
        "InitErgmTerm.b1starmix"
      ]
    },
    {
      "page": "b1twostar-ergmTerm-3ca58d12",
      "title": "Two-star census for central nodes centered on the first mode of a bipartite network",
      "concept": [
        "bipartite",
        "categorical nodal attribute",
        "undirected"
      ],
      "topics": [
        "b1twostar-ergmTerm",
        "InitErgmTerm.b1twostar"
      ]
    },
    {
      "page": "b2concurrent-ergmTerm-c72bf19a",
      "title": "Concurrent node count for the second mode in a bipartite network",
      "concept": [
        "bipartite",
        "frequently-used",
        "undirected"
      ],
      "topics": [
        "b2concurrent-ergmTerm",
        "InitErgmTerm.b2concurrent"
      ]
    },
    {
      "page": "b2cov-ergmTerm-abbfac55",
      "title": "Main effect of a covariate for the second mode in a bipartite network",
      "concept": [
        "bipartite",
        "dyad-independent",
        "frequently-used",
        "quantitative nodal attribute",
        "undirected"
      ],
      "topics": [
        "b2cov-ergmTerm",
        "InitErgmTerm.b2cov",
        "InitWtErgmTerm.b2cov"
      ]
    },
    {
      "page": "b2covrange-ergmTerm-5e2bcc86",
      "title": "Range of covariate values for neighbors of a mode-2 node",
      "concept": [
        "bipartite",
        "quantitative nodal attribute"
      ],
      "topics": [
        "b2covrange-ergmTerm",
        "InitErgmTerm.b2covrange"
      ]
    },
    {
      "page": "b2degrange-ergmTerm-d16c3697",
      "title": "Degree range for the second mode in a bipartite network",
      "concept": [
        "bipartite",
        "undirected"
      ],
      "topics": [
        "b2degrange-ergmTerm",
        "InitErgmTerm.b2degrange"
      ]
    },
    {
      "page": "b2degree-ergmTerm-20b6a8ee",
      "title": "Degree for the second mode in a bipartite network",
      "concept": [
        "bipartite",
        "categorical nodal attribute",
        "frequently-used",
        "undirected"
      ],
      "topics": [
        "b2degree-ergmTerm",
        "InitErgmTerm.b2degree"
      ]
    },
    {
      "page": "b2degrees-ergmConstraint-2b170be6",
      "title": "Preserve the receiver degree for bipartite networks",
      "concept": [
        "bipartite"
      ],
      "topics": [
        "b2degrees-ergmConstraint",
        "InitErgmConstraint.b2degrees"
      ]
    },
    {
      "page": "b2dsp-ergmTerm-e9e03312",
      "title": "Dyadwise shared partners for dyads in the second bipartition",
      "concept": [
        "bipartite",
        "undirected"
      ],
      "topics": [
        "b2dsp-ergmTerm",
        "InitErgmTerm.b2dsp"
      ]
    },
    {
      "page": "b2factor-ergmTerm-bed2c507",
      "title": "Factor attribute effect for the second mode in a bipartite network",
      "concept": [
        "bipartite",
        "categorical nodal attribute",
        "dyad-independent",
        "frequently-used",
        "undirected"
      ],
      "topics": [
        "b2factor-ergmTerm",
        "InitErgmTerm.b2factor",
        "InitWtErgmTerm.b2factor"
      ]
    },
    {
      "page": "b2factordistinct-ergmTerm-076e6026",
      "title": "Number of distinct neighbor types for the second mode",
      "concept": [
        "bipartite",
        "categorical nodal attribute"
      ],
      "topics": [
        "b2factordistinct-ergmTerm",
        "InitErgmTerm.b2factordistinct"
      ]
    },
    {
      "page": "b2mindegree-ergmTerm-3b15466d",
      "title": "Minimum degree for the second mode in a bipartite network",
      "concept": [
        "bipartite",
        "undirected"
      ],
      "topics": [
        "b2mindegree-ergmTerm",
        "InitErgmTerm.b2mindegree"
      ]
    },
    {
      "page": "b2nodematch-ergmTerm-126ff8a2",
      "title": "Nodal attribute-based homophily effect for the second mode in a bipartite network",
      "concept": [
        "bipartite",
        "categorical nodal attribute",
        "dyad-independent",
        "frequently-used",
        "undirected"
      ],
      "topics": [
        "b2nodematch-ergmTerm",
        "InitErgmTerm.b2nodematch"
      ]
    },
    {
      "page": "b2sociality-ergmTerm-ae7e4336",
      "title": "Degree",
      "concept": [
        "bipartite",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "b2sociality-ergmTerm",
        "InitErgmTerm.b2sociality",
        "InitWtErgmTerm.b2sociality"
      ]
    },
    {
      "page": "b2star-ergmTerm-76adb9af",
      "title": "k-stars for the second mode in a bipartite network",
      "concept": [
        "bipartite",
        "categorical nodal attribute",
        "undirected"
      ],
      "topics": [
        "b2star-ergmTerm",
        "InitErgmTerm.b2star"
      ]
    },
    {
      "page": "b2starmix-ergmTerm-391186eb",
      "title": "Mixing matrix for k-stars centered on the second mode of a bipartite network",
      "concept": [
        "bipartite",
        "categorical nodal attribute",
        "undirected"
      ],
      "topics": [
        "b2starmix-ergmTerm",
        "InitErgmTerm.b2starmix"
      ]
    },
    {
      "page": "b2twostar-ergmTerm-ca7ec3bb",
      "title": "Two-star census for central nodes centered on the second mode of a bipartite network",
      "concept": [
        "bipartite",
        "categorical nodal attribute",
        "undirected"
      ],
      "topics": [
        "b2twostar-ergmTerm",
        "InitErgmTerm.b2twostar"
      ]
    },
    {
      "page": "balance-ergmTerm-9111bd77",
      "title": "Balanced triads",
      "concept": [
        "directed",
        "triad-related",
        "undirected"
      ],
      "topics": [
        "balance-ergmTerm",
        "InitErgmTerm.balance"
      ]
    },
    {
      "page": "bd-ergmConstraint-54194cbb",
      "title": "Constrain maximum and minimum vertex degree",
      "concept": [
        "directed",
        "undirected"
      ],
      "topics": [
        "bd-ergmConstraint",
        "InitErgmConstraint.bd"
      ]
    },
    {
      "page": "Bernoulli-ergmReference-d4c68fcc",
      "title": "Bernoulli reference",
      "concept": [
        "binary",
        "discrete",
        "finite",
        "nonnegative"
      ],
      "topics": [
        "Bernoulli-ergmReference",
        "InitErgmReference.Bernoulli"
      ]
    },
    {
      "page": "blockdiag-ergmConstraint-140bec05",
      "title": "Block-diagonal structure constraint",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "blockdiag-ergmConstraint",
        "InitErgmConstraint.blockdiag"
      ]
    },
    {
      "page": "blocks-ergmConstraint-6ef7822c",
      "title": "Constrain blocks of dyads defined by mixing type on a vertex attribute.",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "blocks-ergmConstraint",
        "InitErgmConstraint.blocks"
      ]
    },
    {
      "page": "cdf-ergmTerm-66ced489",
      "title": "Empirical cumulative distribution function (unnormalized) of the network's dyad values",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "cdf-ergmTerm",
        "InitWtErgmTerm..gof.cdf",
        "InitWtErgmTerm.cdf"
      ]
    },
    {
      "page": "ChangeStats-ergmConstraint-a69283e7",
      "title": "Specified statistics must remain constant",
      "concept": [
        "directed",
        "operator",
        "undirected"
      ],
      "topics": [
        "ChangeStats-ergmConstraint",
        "InitErgmConstraint.ChangeStats"
      ]
    },
    {
      "page": "check.ErgmTerm",
      "title": "Ensures an Ergm Term and its Arguments Meet Appropriate Conditions",
      "topics": [
        "check.ErgmTerm"
      ]
    },
    {
      "page": "cohab",
      "title": "Target statistics and model fit to a hypothetical 50,000-node network population with 50,000 nodes based on egocent",
      "topics": [
        "cohab",
        "cohab_MixMat",
        "cohab_PopWts",
        "cohab_TargetStats"
      ]
    },
    {
      "page": "coincidence-ergmTerm-58ca78cc",
      "title": "Coincident node count for the second mode in a bipartite (aka two-mode) network",
      "concept": [
        "bipartite",
        "undirected"
      ],
      "topics": [
        "coincidence-ergmTerm",
        "InitErgmTerm.coincidence"
      ]
    },
    {
      "page": "concurrent-ergmTerm-a0121891",
      "title": "Concurrent node count",
      "concept": [
        "categorical nodal attribute",
        "undirected"
      ],
      "topics": [
        "concurrent-ergmTerm",
        "InitErgmTerm.concurrent"
      ]
    },
    {
      "page": "concurrentties-ergmTerm-8ccb08e6",
      "title": "Concurrent tie count",
      "concept": [
        "categorical nodal attribute",
        "undirected"
      ],
      "topics": [
        "concurrentties-ergmTerm",
        "InitErgmTerm.concurrentties"
      ]
    },
    {
      "page": "control.ergm",
      "title": "Auxiliary function for fine-tuning ERGM fitting.",
      "topics": [
        "control.ergm",
        "control.ergm3"
      ]
    },
    {
      "page": "control.ergm.bridge",
      "title": "Auxiliaries for Controlling 'ergm.bridge.llr()' and 'logLik.ergm()'",
      "topics": [
        "control.ergm.bridge",
        "control.logLik.ergm"
      ]
    },
    {
      "page": "control.gof",
      "title": "Auxiliary for Controlling ERGM Goodness-of-Fit Evaluation",
      "topics": [
        "control.gof",
        "control.gof.ergm",
        "control.gof.formula"
      ]
    },
    {
      "page": "control.san",
      "title": "Auxiliary for Controlling SAN",
      "topics": [
        "control.san"
      ]
    },
    {
      "page": "control.simulate.ergm",
      "title": "Auxiliary for Controlling ERGM Simulation",
      "topics": [
        "control.simulate",
        "control.simulate.ergm",
        "control.simulate.formula",
        "control.simulate.formula.ergm"
      ]
    },
    {
      "page": "ctriple-ergmTerm-9ad4f7cd",
      "title": "Cyclic triples",
      "concept": [
        "categorical nodal attribute",
        "directed",
        "triad-related"
      ],
      "topics": [
        "ctriad-ergmTerm",
        "ctriple-ergmTerm",
        "InitErgmTerm.ctriad",
        "InitErgmTerm.ctriple"
      ]
    },
    {
      "page": "Curve-ergmTerm-a37fe1f0",
      "title": "Impose a curved structure on term parameters",
      "concept": [
        "operator"
      ],
      "topics": [
        "Curve-ergmTerm",
        "InitErgmTerm.Curve",
        "InitErgmTerm.Parametrise",
        "InitErgmTerm.Parametrize",
        "InitWtErgmTerm.Curve",
        "InitWtErgmTerm.Parametrise",
        "InitWtErgmTerm.Parametrize",
        "Parametrise-ergmTerm",
        "Parametrize-ergmTerm"
      ]
    },
    {
      "page": "cycle-ergmTerm-20398683",
      "title": "k-Cycle Census",
      "concept": [
        "directed",
        "undirected"
      ],
      "topics": [
        "cycle-ergmTerm",
        "InitErgmTerm.cycle"
      ]
    },
    {
      "page": "cyclicalties-ergmTerm-636eecc3",
      "title": "Cyclical ties",
      "concept": [
        "directed",
        "undirected"
      ],
      "topics": [
        "cyclicalties-ergmTerm",
        "InitErgmTerm.cyclicalties",
        "InitWtErgmTerm.cyclicalties"
      ]
    },
    {
      "page": "cyclicalweights-ergmTerm-994a6687",
      "title": "Cyclical weights",
      "concept": [
        "directed",
        "nonnegative",
        "undirected"
      ],
      "topics": [
        "cyclicalweights-ergmTerm",
        "InitWtErgmTerm.cyclicalweights"
      ]
    },
    {
      "page": "degcor-ergmTerm-b501a3c7",
      "title": "Degree Correlation",
      "concept": [
        "undirected"
      ],
      "topics": [
        "degcor-ergmTerm",
        "InitErgmTerm.degcor"
      ]
    },
    {
      "page": "degcrossprod-ergmTerm-fb36e593",
      "title": "Degree Cross-Product",
      "concept": [
        "undirected"
      ],
      "topics": [
        "degcrossprod-ergmTerm",
        "InitErgmTerm.degcrossprod"
      ]
    },
    {
      "page": "degrange-ergmTerm-e31fe592",
      "title": "Degree range",
      "concept": [
        "categorical nodal attribute",
        "undirected"
      ],
      "topics": [
        "degrange-ergmTerm",
        "InitErgmTerm.degrange"
      ]
    },
    {
      "page": "degree-ergmTerm-64bfdc89",
      "title": "Degree",
      "concept": [
        "categorical nodal attribute",
        "frequently-used",
        "undirected"
      ],
      "topics": [
        "degree-ergmTerm",
        "InitErgmTerm.degree"
      ]
    },
    {
      "page": "degree15-ergmTerm-ea15bf13",
      "title": "Degree to the 3/2 power",
      "concept": [
        "undirected"
      ],
      "topics": [
        "degree1.5-ergmTerm",
        "InitErgmTerm.degree1.5"
      ]
    },
    {
      "page": "degreedist",
      "title": "Computes and Returns the Degree Distribution Information for a Given Network",
      "topics": [
        "degreedist",
        "degreedist.network"
      ]
    },
    {
      "page": "degreedist-ergmConstraint-9d661be6",
      "title": "Preserve the degree distribution of the given network",
      "concept": [
        "directed",
        "undirected"
      ],
      "topics": [
        "degreedist-ergmConstraint",
        "InitErgmConstraint.degreedist"
      ]
    },
    {
      "page": "degrees-ergmConstraint-602e0f0d",
      "title": "Preserve the degree of each vertex of the given network",
      "concept": [
        "directed",
        "undirected"
      ],
      "topics": [
        "degrees-ergmConstraint",
        "InitErgmConstraint.degrees",
        "InitErgmConstraint.nodedegrees",
        "nodedegrees-ergmConstraint"
      ]
    },
    {
      "page": "density-ergmTerm-9f4752d0",
      "title": "Density",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "density-ergmTerm",
        "InitErgmTerm.density"
      ]
    },
    {
      "page": "diff-ergmTerm-0b65ee46",
      "title": "Difference",
      "concept": [
        "bipartite",
        "directed",
        "dyad-independent",
        "frequently-used",
        "quantitative nodal attribute",
        "undirected"
      ],
      "topics": [
        "diff-ergmTerm",
        "InitErgmTerm.diff",
        "InitWtErgmTerm.diff"
      ]
    },
    {
      "page": "DiscUnif-ergmReference-94b67a89",
      "title": "Discrete Uniform reference",
      "concept": [
        "discrete",
        "finite"
      ],
      "topics": [
        "DiscUnif-ergmReference",
        "InitErgmReference.DiscUnif"
      ]
    },
    {
      "page": "dsp-ergmTerm-1a10473d",
      "title": "Directed dyadwise shared partners",
      "concept": [
        "directed"
      ],
      "topics": [
        "ddsp-ergmTerm",
        "dsp-ergmTerm",
        "InitErgmTerm.ddsp",
        "InitErgmTerm.dsp"
      ]
    },
    {
      "page": "dyadcov-ergmTerm-5fba5404",
      "title": "Dyadic covariate",
      "concept": [
        "directed",
        "dyad-independent",
        "quantitative dyadic attribute",
        "undirected"
      ],
      "topics": [
        "dyadcov-ergmTerm",
        "InitErgmTerm.dyadcov"
      ]
    },
    {
      "page": "dyadnoise-ergmConstraint-03418976",
      "title": "A soft constraint to adjust the sampled distribution for dyad-level noise with known perturbation probabilities",
      "concept": [
        "directed",
        "dyad-independent",
        "soft",
        "undirected"
      ],
      "topics": [
        "dyadnoise-ergmConstraint",
        "InitErgmConstraint.dyadnoise"
      ]
    },
    {
      "page": "Dyads-ergmConstraint-3aee3115",
      "title": "Constrain fixed or varying dyad-independent terms",
      "concept": [
        "directed",
        "dyad-independent",
        "operator",
        "undirected"
      ],
      "topics": [
        "Dyads-ergmConstraint",
        "InitErgmConstraint.Dyads"
      ]
    },
    {
      "page": "ecoli",
      "title": "Two versions of an E. Coli network dataset",
      "topics": [
        "ecoli",
        "ecoli1",
        "ecoli2"
      ]
    },
    {
      "page": "edgecov-ergmTerm-1fb5ef19",
      "title": "Edge covariate",
      "concept": [
        "directed",
        "dyad-independent",
        "frequently-used",
        "quantitative dyadic attribute",
        "undirected"
      ],
      "topics": [
        "edgecov-ergmTerm",
        "InitErgmTerm.edgecov",
        "InitWtErgmTerm.edgecov"
      ]
    },
    {
      "page": "edges-ergmConstraint-dc999be9",
      "title": "Preserve the edge count of the given network",
      "topics": [
        "edges-ergmConstraint",
        "InitErgmConstraint.edges"
      ]
    },
    {
      "page": "edges-ergmTerm-dc999be9",
      "title": "Number of edges in the network",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "edges-ergmTerm",
        "InitErgmTerm.edges",
        "InitWtErgmTerm.edges",
        "InitWtErgmTerm.nonzero",
        "nonzero-ergmTerm"
      ]
    },
    {
      "page": "egocentric-ergmConstraint-60aa4e0b",
      "title": "Preserve values of dyads incident on vertices with given attribute",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "egocentric-ergmConstraint",
        "InitErgmConstraint.egocentric"
      ]
    },
    {
      "page": "equalto-ergmTerm-c31f7686",
      "title": "Number of dyads with values equal to a specific value (within tolerance)",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "equalto-ergmTerm",
        "InitWtErgmTerm.equalto"
      ]
    },
    {
      "page": "ergm",
      "title": "Exponential-Family Random Graph Models",
      "topics": [
        "alias.ergm",
        "anyNA.ergm",
        "ergm",
        "ergm.object",
        "is.ergm",
        "is.na.ergm",
        "nobs.ergm",
        "print.ergm",
        "vcov.ergm"
      ]
    },
    {
      "page": "ergm_flatten_conterm_list",
      "title": "Convert a list of constraint formulas or terms to a flat term list",
      "topics": [
        "ergm_flatten_conterm_list"
      ]
    },
    {
      "page": "ergm_MCMC_sample",
      "title": "Internal Function to Sample Networks and Network Statistics",
      "topics": [
        "ergm_MCMC_sample",
        "ergm_MCMC_slave"
      ]
    },
    {
      "page": "ergm_plot.mcmc.list",
      "title": "Plot MCMC list using 'lattice' package graphics",
      "topics": [
        "ergm_plot.mcmc.list"
      ]
    },
    {
      "page": "ergm_state_cache",
      "title": "A rudimentary cache for large objects",
      "topics": [
        "ergm_state_cache"
      ]
    },
    {
      "page": "ergm_symmetrize",
      "title": "Return a symmetrized version of a binary network",
      "topics": [
        "ergm_symmetrize",
        "ergm_symmetrize.default",
        "ergm_symmetrize.network"
      ]
    },
    {
      "page": "ergm-options",
      "title": "Global options and term options for the 'ergm' package",
      "topics": [
        "ergm-options",
        "ergmTerm-options",
        "term.options"
      ]
    },
    {
      "page": "ergm-parallel",
      "title": "Parallel Processing in the 'ergm' Package",
      "topics": [
        "ergm-parallel",
        "ergm.getCluster",
        "ergm.parallel",
        "ergm.restartCluster",
        "ergm.stopCluster",
        "get.MT_terms",
        "nthreads",
        "nthreads.cluster",
        "nthreads.control.list",
        "nthreads.NULL",
        "parallel",
        "parallel-ergm",
        "parallel.ergm",
        "set.MT_terms"
      ]
    },
    {
      "page": "ergm.allstats",
      "title": "Calculate all possible vectors of statistics on a network for an ERGM",
      "topics": [
        "ergm.allstats",
        "ergm.exact"
      ]
    },
    {
      "page": "ergm.bridge.llr",
      "title": "Bridge sampling to evaluate ERGM log-likelihoods and log-likelihood ratios",
      "topics": [
        "ergm.bridge.0.llk",
        "ergm.bridge.dindstart.llk",
        "ergm.bridge.llr"
      ]
    },
    {
      "page": "ergm.design",
      "title": "Obtain the set of informative dyads based on the network structure.",
      "topics": [
        "ergm.design"
      ]
    },
    {
      "page": "ergm.getnetwork",
      "title": "Acquire and verify the network from the LHS of an 'ergm' formula and verify that it is a valid network.",
      "topics": [
        "ergm.getnetwork"
      ]
    },
    {
      "page": "ergm.godfather",
      "title": "A function to apply a given series of changes to a network.",
      "topics": [
        "ergm.godfather",
        "ergm.godfather.ergm_model",
        "ergm.godfather.ergm_state",
        "ergm.godfather.formula"
      ]
    },
    {
      "page": "ergmConstraint",
      "title": "Sample Space Constraints for Exponential-Family Random Graph Models",
      "topics": [
        "constraints-ergm",
        "constraints.ergm",
        "ergm-constraints",
        "ergm.constraints",
        "ergmConstraint"
      ]
    },
    {
      "page": "ergmHint",
      "title": "MCMC Hints for Exponential-Family Random Graph Models",
      "topics": [
        "ergm-hints",
        "ergm.hints",
        "ergmHint",
        "hints",
        "hints-ergm",
        "hints.ergm"
      ]
    },
    {
      "page": "ergmKeyword",
      "title": "Keywords defined for Exponential-Family Random Graph Models",
      "topics": [
        "ergm-keywords",
        "ergm.keywords",
        "ergmKeyword",
        "keywords-ergm",
        "keywords.ergm"
      ]
    },
    {
      "page": "ergmMPLE",
      "title": "ERGM Predictors and response for logistic regression calculation of MPLE",
      "topics": [
        "ergmMPLE"
      ]
    },
    {
      "page": "ergmProposal",
      "title": "Metropolis-Hastings Proposal Methods for ERGM MCMC",
      "topics": [
        "ergm-proposals",
        "ergm.proposals",
        "ergmProposal",
        "InitErgmProposal",
        "InitWtErgmProposal",
        "proposals-ergm",
        "proposals.ergm"
      ]
    },
    {
      "page": "ergmReference",
      "title": "Reference Measures for Exponential-Family Random Graph Models",
      "topics": [
        "ergm-references",
        "ergm.references",
        "ergmReference",
        "references-ergm",
        "references.ergm"
      ]
    },
    {
      "page": "ergmTerm",
      "title": "Terms used in Exponential Family Random Graph Models",
      "topics": [
        "ergm-terms",
        "ergm.terms",
        "ergmTerm",
        "InitErgmTerm",
        "InitErgmWtTerm",
        "terms-ergm",
        "terms.ergm"
      ]
    },
    {
      "page": "esp-ergmTerm-d2e07fc8",
      "title": "Directed edgewise shared partners",
      "concept": [
        "directed"
      ],
      "topics": [
        "desp-ergmTerm",
        "esp-ergmTerm",
        "InitErgmTerm.desp",
        "InitErgmTerm.esp"
      ]
    },
    {
      "page": "Exp-ergmTerm-2a7372d1",
      "title": "Exponentiate a network's statistic",
      "concept": [
        "operator"
      ],
      "topics": [
        "Exp-ergmTerm",
        "InitErgmTerm.Exp",
        "InitWtErgmTerm.Exp"
      ]
    },
    {
      "page": "F-ergmTerm-1029798a",
      "title": "Filtering on arbitrary one-term model",
      "concept": [
        "operator"
      ],
      "topics": [
        "F-ergmTerm",
        "InitErgmTerm.F"
      ]
    },
    {
      "page": "faux.desert.high",
      "title": "Faux desert High School as a network object",
      "topics": [
        "faux.desert.high"
      ]
    },
    {
      "page": "faux.dixon.high",
      "title": "Faux dixon High School as a network object",
      "topics": [
        "faux.dixon.high"
      ]
    },
    {
      "page": "faux.magnolia.high",
      "title": "Goodreau's Faux Magnolia High School as a network object",
      "topics": [
        "faux.magnolia.high"
      ]
    },
    {
      "page": "faux.mesa.high",
      "title": "Goodreau's Faux Mesa High School as a network object",
      "topics": [
        "faux.mesa.high",
        "fauxhigh"
      ]
    },
    {
      "page": "fix.curved",
      "title": "Convert a curved ERGM into a corresponding \"fixed\" ERGM.",
      "topics": [
        "fix.curved",
        "fix.curved.ergm",
        "fix.curved.formula"
      ]
    },
    {
      "page": "fixallbut-ergmConstraint-ea96b2e0",
      "title": "Preserve the dyad status in all but the given edges",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "fixallbut-ergmConstraint",
        "InitErgmConstraint.fixallbut"
      ]
    },
    {
      "page": "fixedas-ergmConstraint-3f69c25b",
      "title": "Fix specific dyads",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "fixedas-ergmConstraint",
        "InitErgmConstraint.fixedas"
      ]
    },
    {
      "page": "florentine",
      "title": "Florentine Family Marriage and Business Ties Data as a \"network\" object",
      "topics": [
        "flobusiness",
        "flomarriage",
        "florentine"
      ]
    },
    {
      "page": "For-ergmTerm-f403b433",
      "title": "A 'for' operator for terms",
      "concept": [
        "operator"
      ],
      "topics": [
        "For-ergmTerm",
        "InitErgmTerm.For",
        "InitWtErgmTerm.For"
      ]
    },
    {
      "page": "g4",
      "title": "Goodreau's four node network as a \"network\" object",
      "topics": [
        "g4"
      ]
    },
    {
      "page": "geweke.diag.mv",
      "title": "Multivariate version of 'coda''s 'coda::geweke.diag()'.",
      "topics": [
        "geweke.diag.mv"
      ]
    },
    {
      "page": "gof",
      "title": "Conduct Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model",
      "topics": [
        "gof",
        "gof.default",
        "gof.ergm",
        "gof.formula",
        "plot.gof",
        "print.gof"
      ]
    },
    {
      "page": "greaterthan-ergmTerm-6b8cc380",
      "title": "Number of dyads with values strictly greater than a threshold",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "greaterthan-ergmTerm",
        "InitWtErgmTerm.greaterthan"
      ]
    },
    {
      "page": "gwb1degree-ergmTerm-847064c5",
      "title": "Geometrically weighted degree distribution for the first mode in a bipartite network",
      "concept": [
        "bipartite",
        "curved",
        "undirected"
      ],
      "topics": [
        "gwb1degree-ergmTerm",
        "InitErgmTerm.gwb1degree"
      ]
    },
    {
      "page": "gwb1dsp-ergmTerm-0bf628f4",
      "title": "Geometrically weighted dyadwise shared partner distribution for dyads in the first bipartition",
      "concept": [
        "bipartite",
        "curved",
        "undirected"
      ],
      "topics": [
        "gwb1dsp-ergmTerm",
        "InitErgmTerm.gwb1dsp"
      ]
    },
    {
      "page": "gwb2degree-ergmTerm-584e787c",
      "title": "Geometrically weighted degree distribution for the second mode in a bipartite network",
      "concept": [
        "bipartite",
        "curved",
        "undirected"
      ],
      "topics": [
        "gwb2degree-ergmTerm",
        "InitErgmTerm.gwb2degree"
      ]
    },
    {
      "page": "gwb2dsp-ergmTerm-2d408a5d",
      "title": "Geometrically weighted dyadwise shared partner distribution for dyads in the second bipartition",
      "concept": [
        "bipartite",
        "curved",
        "undirected"
      ],
      "topics": [
        "gwb2dsp-ergmTerm",
        "InitErgmTerm.gwb2dsp"
      ]
    },
    {
      "page": "gwdegree-ergmTerm-b4e39ca9",
      "title": "Geometrically weighted degree distribution",
      "concept": [
        "curved",
        "frequently-used",
        "undirected"
      ],
      "topics": [
        "gwdegree-ergmTerm",
        "InitErgmTerm.gwdegree"
      ]
    },
    {
      "page": "gwdsp-ergmTerm-4e3dfd97",
      "title": "Geometrically weighted dyadwise shared partner distribution",
      "concept": [
        "directed"
      ],
      "topics": [
        "dgwdsp-ergmTerm",
        "gwdsp-ergmTerm",
        "InitErgmTerm.dgwdsp",
        "InitErgmTerm.gwdsp"
      ]
    },
    {
      "page": "gwesp-ergmTerm-3d6fb5a8",
      "title": "Geometrically weighted edgewise shared partner distribution",
      "concept": [
        "directed"
      ],
      "topics": [
        "dgwesp-ergmTerm",
        "gwesp-ergmTerm",
        "InitErgmTerm.dgwesp",
        "InitErgmTerm.gwesp"
      ]
    },
    {
      "page": "gwidegree-ergmTerm-b37ed894",
      "title": "Geometrically weighted in-degree distribution",
      "concept": [
        "curved",
        "directed"
      ],
      "topics": [
        "gwidegree-ergmTerm",
        "InitErgmTerm.gwidegree"
      ]
    },
    {
      "page": "gwnsp-ergmTerm-6def2a32",
      "title": "Geometrically weighted non-edgewise shared partner distribution",
      "concept": [
        "directed"
      ],
      "topics": [
        "dgwnsp-ergmTerm",
        "gwnsp-ergmTerm",
        "InitErgmTerm.dgwnsp",
        "InitErgmTerm.gwnsp"
      ]
    },
    {
      "page": "gwodegree-ergmTerm-276e606c",
      "title": "Geometrically weighted out-degree distribution",
      "concept": [
        "curved",
        "directed"
      ],
      "topics": [
        "gwodegree-ergmTerm",
        "InitErgmTerm.gwodegree"
      ]
    },
    {
      "page": "hamming-ergmConstraint-82ea89b9",
      "title": "Preserve the hamming distance to the given network (BROKEN: Do NOT Use)",
      "concept": [
        "directed",
        "undirected"
      ],
      "topics": [
        "hamming-ergmConstraint",
        "InitErgmConstraint.hamming"
      ]
    },
    {
      "page": "hamming-ergmTerm-82ea89b9",
      "title": "Hamming distance",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "hamming-ergmTerm",
        "InitErgmTerm.hamming"
      ]
    },
    {
      "page": "I-ergmConstraint-ca2567ac",
      "title": "Substitute a formula into the constraints formula",
      "concept": [
        "operator"
      ],
      "topics": [
        "I-ergmConstraint",
        "InitErgmConstraint.I"
      ]
    },
    {
      "page": "I-ergmTerm-ca2567ac",
      "title": "Substitute a formula into the model formula",
      "concept": [
        "operator"
      ],
      "topics": [
        "I-ergmTerm",
        "InitErgmTerm.I",
        "InitWtErgmTerm.I"
      ]
    },
    {
      "page": "idegrange-ergmTerm-03001d90",
      "title": "In-degree range",
      "concept": [
        "categorical nodal attribute",
        "directed"
      ],
      "topics": [
        "idegrange-ergmTerm",
        "InitErgmTerm.idegrange"
      ]
    },
    {
      "page": "idegree-ergmTerm-036b6e10",
      "title": "In-degree",
      "concept": [
        "categorical nodal attribute",
        "directed",
        "frequently-used"
      ],
      "topics": [
        "idegree-ergmTerm",
        "InitErgmTerm.idegree"
      ]
    },
    {
      "page": "idegree15-ergmTerm-b83b1a3a",
      "title": "In-degree to the 3/2 power",
      "concept": [
        "directed"
      ],
      "topics": [
        "idegree1.5-ergmTerm",
        "InitErgmTerm.idegree1.5"
      ]
    },
    {
      "page": "idegreedist-ergmConstraint-98f28449",
      "title": "Preserve the indegree distribution",
      "concept": [
        "directed"
      ],
      "topics": [
        "idegreedist-ergmConstraint",
        "InitErgmConstraint.idegreedist"
      ]
    },
    {
      "page": "idegrees-ergmConstraint-04ab7684",
      "title": "Preserve indegree for directed networks",
      "concept": [
        "directed"
      ],
      "topics": [
        "idegrees-ergmConstraint",
        "InitErgmConstraint.idegrees"
      ]
    },
    {
      "page": "ininterval-ergmTerm-e9384dcc",
      "title": "Number of dyads whose values are in an interval",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "ininterval-ergmTerm",
        "InitWtErgmTerm.ininterval"
      ]
    },
    {
      "page": "intransitive-ergmTerm-4a599cad",
      "title": "Intransitive triads",
      "concept": [
        "directed",
        "triad-related"
      ],
      "topics": [
        "InitErgmTerm.intransitive",
        "intransitive-ergmTerm"
      ]
    },
    {
      "page": "is.curved",
      "title": "Testing for curved exponential family",
      "topics": [
        "is.curved",
        "is.curved.ergm",
        "is.curved.formula",
        "is.curved.NULL"
      ]
    },
    {
      "page": "is.dyad.independent",
      "title": "Testing for dyad-independence",
      "topics": [
        "is.dyad.independent",
        "is.dyad.independent.ergm",
        "is.dyad.independent.ergm_conlist",
        "is.dyad.independent.formula",
        "is.dyad.independent.NULL"
      ]
    },
    {
      "page": "is.valued",
      "title": "Function to check whether an ERGM fit or some aspect of it is valued",
      "topics": [
        "is.valued",
        "is.valued.edgelist",
        "is.valued.ergm",
        "is.valued.ergm_state",
        "is.valued.network"
      ]
    },
    {
      "page": "isolatededges-ergmTerm-78b32353",
      "title": "Isolated edges",
      "concept": [
        "bipartite",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.isolatededges",
        "isolatededges-ergmTerm"
      ]
    },
    {
      "page": "isolates-ergmTerm-55ae8770",
      "title": "Isolates",
      "concept": [
        "directed",
        "frequently-used",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.isolates",
        "isolates-ergmTerm"
      ]
    },
    {
      "page": "istar-ergmTerm-686da871",
      "title": "In-stars",
      "concept": [
        "categorical nodal attribute",
        "directed"
      ],
      "topics": [
        "InitErgmTerm.istar",
        "istar-ergmTerm"
      ]
    },
    {
      "page": "kapferer",
      "title": "Kapferer's tailor shop data",
      "topics": [
        "kapferer",
        "kapferer2",
        "tailor"
      ]
    },
    {
      "page": "kstar-ergmTerm-9ffb742c",
      "title": "k-stars",
      "concept": [
        "categorical nodal attribute",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.kstar",
        "kstar-ergmTerm"
      ]
    },
    {
      "page": "Label-ergmTerm-6de33f4e",
      "title": "Modify terms' coefficient names",
      "concept": [
        "operator"
      ],
      "topics": [
        "InitErgmTerm.Label",
        "InitWtErgmTerm.Label",
        "Label-ergmTerm"
      ]
    },
    {
      "page": "localtriangle-ergmTerm-8ca12415",
      "title": "Triangles within neighborhoods",
      "concept": [
        "categorical dyadic attribute",
        "directed",
        "triad-related",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.localtriangle",
        "localtriangle-ergmTerm"
      ]
    },
    {
      "page": "Log-ergmTerm-f1bed869",
      "title": "Take a natural logarithm of a network's statistic",
      "concept": [
        "operator"
      ],
      "topics": [
        "InitErgmTerm.Log",
        "InitWtErgmTerm.Log",
        "Log-ergmTerm"
      ]
    },
    {
      "page": "logLik.ergm",
      "title": "A 'logLik()' method for 'ergm' fits.",
      "topics": [
        "AIC.ergm",
        "BIC.ergm",
        "deviance.ergm",
        "logLik.ergm"
      ]
    },
    {
      "page": "logLikNull",
      "title": "Calculate the null model likelihood",
      "topics": [
        "logLikNull",
        "logLikNull.ergm"
      ]
    },
    {
      "page": "m2star-ergmTerm-bff0f16e",
      "title": "Mixed 2-stars, a.k.a 2-paths",
      "concept": [
        "directed"
      ],
      "topics": [
        "InitErgmTerm.m2star",
        "m2star-ergmTerm"
      ]
    },
    {
      "page": "mcmc.diagnostics",
      "title": "Conduct MCMC diagnostics on a model fit",
      "topics": [
        "mcmc.diagnostics",
        "mcmc.diagnostics.default",
        "mcmc.diagnostics.ergm"
      ]
    },
    {
      "page": "meandeg-ergmTerm-f81357a5",
      "title": "Mean vertex degree",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.meandeg",
        "meandeg-ergmTerm"
      ]
    },
    {
      "page": "mm-ergmTerm-0264ed3f",
      "title": "Mixing matrix cells and margins",
      "concept": [
        "categorical nodal attribute",
        "directed",
        "dyad-independent",
        "frequently-used",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.mm",
        "InitWtErgmTerm.mm",
        "mm-ergmTerm"
      ]
    },
    {
      "page": "molecule",
      "title": "Synthetic network with 20 nodes and 28 edges",
      "topics": [
        "molecule"
      ]
    },
    {
      "page": "mutual-ergmTerm-22863009",
      "title": "Mutuality",
      "concept": [
        "directed",
        "frequently-used"
      ],
      "topics": [
        "InitErgmTerm.mutual",
        "InitWtErgmTerm.mutual",
        "mutual-ergmTerm"
      ]
    },
    {
      "page": "nearsimmelian-ergmTerm-ba85787e",
      "title": "Near simmelian triads",
      "concept": [
        "directed",
        "triad-related"
      ],
      "topics": [
        "InitErgmTerm.nearsimmelian",
        "nearsimmelian-ergmTerm"
      ]
    },
    {
      "page": "network.list",
      "title": "A convenience container for a list of 'network' objects, output by 'simulate.ergm()' among others.",
      "topics": [
        "network.list",
        "network.list.list",
        "print.network.list",
        "summary.network.list"
      ]
    },
    {
      "page": "nodal_attributes",
      "title": "Specifying nodal attributes and their levels",
      "topics": [
        "attr",
        "attrname",
        "attrs",
        "by",
        "COLLAPSE_SMALLEST",
        "LARGEST",
        "nodal.attr",
        "nodal.attribute",
        "nodal_attributes",
        "node.attr",
        "node.attribute",
        "on",
        "SMALLEST",
        "vertex.attr",
        "vertex.attribute"
      ]
    },
    {
      "page": "nodecov-ergmTerm-e6fb5c28",
      "title": "Main effect of a covariate",
      "concept": [
        "directed",
        "dyad-independent",
        "frequently-used",
        "quantitative nodal attribute",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.nodecov",
        "InitErgmTerm.nodemain",
        "InitWtErgmTerm.nodecov",
        "InitWtErgmTerm.nodemain",
        "nodecov-ergmTerm",
        "nodemain-ergmTerm"
      ]
    },
    {
      "page": "nodecovar-ergmTerm-35c93a8b",
      "title": "Covariance of undirected dyad values incident on each actor",
      "concept": [
        "undirected"
      ],
      "topics": [
        "InitWtErgmTerm.nodecovar",
        "nodecovar-ergmTerm",
        "nodesqrtcovar-ergmTerm"
      ]
    },
    {
      "page": "nodecovrange-ergmTerm-7ae91499",
      "title": "Range of covariate values for neighbors of a node",
      "concept": [
        "directed",
        "quantitative nodal attribute",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.nodecovrange",
        "nodecovrange-ergmTerm"
      ]
    },
    {
      "page": "nodefactor-ergmTerm-6bea11f2",
      "title": "Factor attribute effect",
      "concept": [
        "categorical nodal attribute",
        "directed",
        "dyad-independent",
        "frequently-used",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.nodefactor",
        "InitWtErgmTerm.nodefactor",
        "nodefactor-ergmTerm"
      ]
    },
    {
      "page": "nodefactordistinct-ergmTerm-3445048c",
      "title": "Number of distinct neighbor types",
      "concept": [
        "categorical nodal attribute",
        "directed",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.nodefactordistinct",
        "nodefactordistinct-ergmTerm"
      ]
    },
    {
      "page": "nodeicov-ergmTerm-02d64b5b",
      "title": "Main effect of a covariate for in-edges",
      "concept": [
        "directed",
        "frequently-used",
        "quantitative nodal attribute"
      ],
      "topics": [
        "InitErgmTerm.nodeicov",
        "InitWtErgmTerm.nodeicov",
        "nodeicov-ergmTerm"
      ]
    },
    {
      "page": "nodeicovar-ergmTerm-06cfbce0",
      "title": "Covariance of in-dyad values incident on each actor",
      "concept": [
        "directed"
      ],
      "topics": [
        "InitWtErgmTerm.nodeicovar",
        "nodeicovar-ergmTerm",
        "nodeisqrtcovar-ergmTerm"
      ]
    },
    {
      "page": "nodeicovrange-ergmTerm-29a8edd7",
      "title": "Range of covariate values for in-neighbors of a node",
      "concept": [
        "directed",
        "quantitative nodal attribute"
      ],
      "topics": [
        "InitErgmTerm.nodeicovrange",
        "nodeicovrange-ergmTerm"
      ]
    },
    {
      "page": "nodeifactor-ergmTerm-7604a73e",
      "title": "Factor attribute effect for in-edges",
      "concept": [
        "categorical nodal attribute",
        "directed",
        "dyad-independent",
        "frequently-used"
      ],
      "topics": [
        "InitErgmTerm.nodeifactor",
        "InitWtErgmTerm.nodeifactor",
        "nodeifactor-ergmTerm"
      ]
    },
    {
      "page": "nodeifactordistinct-ergmTerm-25cbd312",
      "title": "Number of distinct in-neighbor types",
      "concept": [
        "categorical nodal attribute",
        "directed"
      ],
      "topics": [
        "InitErgmTerm.nodeifactordistinct",
        "nodeifactordistinct-ergmTerm"
      ]
    },
    {
      "page": "nodematch-ergmTerm-b316dba4",
      "title": "Uniform homophily and differential homophily",
      "concept": [
        "categorical nodal attribute",
        "directed",
        "dyad-independent",
        "frequently-used",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.nodematch",
        "InitWtErgmTerm.match",
        "InitWtErgmTerm.nodematch",
        "match-ergmTerm",
        "nodematch-ergmTerm"
      ]
    },
    {
      "page": "NodematchFilter-ergmTerm-8bd022b9",
      "title": "Filtering on nodematch",
      "concept": [
        "operator"
      ],
      "topics": [
        "InitErgmTerm.NodematchFilter",
        "NodematchFilter-ergmTerm"
      ]
    },
    {
      "page": "nodemix-ergmTerm-4723046c",
      "title": "Nodal attribute mixing",
      "concept": [
        "categorical nodal attribute",
        "directed",
        "dyad-independent",
        "frequently-used",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.nodemix",
        "InitWtErgmTerm.nodemix",
        "nodemix-ergmTerm"
      ]
    },
    {
      "page": "nodeocov-ergmTerm-3b42993a",
      "title": "Main effect of a covariate for out-edges",
      "concept": [
        "directed",
        "dyad-independent",
        "quantitative nodal attribute"
      ],
      "topics": [
        "InitErgmTerm.nodeocov",
        "InitWtErgmTerm.nodeocov",
        "nodeocov-ergmTerm"
      ]
    },
    {
      "page": "nodeocovar-ergmTerm-1fd42ee5",
      "title": "Covariance of out-dyad values incident on each actor",
      "concept": [
        "directed"
      ],
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        "InitWtErgmTerm.nodeocovar",
        "nodeocovar-ergmTerm"
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    },
    {
      "page": "nodeocovrange-ergmTerm-382e45c5",
      "title": "Range of covariate values for out-neighbors of a node",
      "concept": [
        "directed",
        "quantitative nodal attribute"
      ],
      "topics": [
        "InitErgmTerm.nodeocovrange",
        "nodeocovrange-ergmTerm"
      ]
    },
    {
      "page": "nodeofactor-ergmTerm-8944a896",
      "title": "Factor attribute effect for out-edges",
      "concept": [
        "categorical nodal attribute",
        "directed",
        "dyad-independent"
      ],
      "topics": [
        "InitErgmTerm.nodeofactor",
        "InitWtErgmTerm.nodeofactor",
        "nodeofactor-ergmTerm"
      ]
    },
    {
      "page": "nodeofactordistinct-ergmTerm-f159e5dc",
      "title": "Number of distinct out-neighbor types",
      "concept": [
        "categorical nodal attribute",
        "directed"
      ],
      "topics": [
        "InitErgmTerm.nodeofactordistinct",
        "nodeofactordistinct-ergmTerm"
      ]
    },
    {
      "page": "nparam",
      "title": "Length of the parameter vector associated with an object or with its terms.",
      "topics": [
        "nparam",
        "nparam.default",
        "nparam.ergm"
      ]
    },
    {
      "page": "nsp-ergmTerm-4586ea4f",
      "title": "Directed non-edgewise shared partners",
      "concept": [
        "directed"
      ],
      "topics": [
        "dnsp-ergmTerm",
        "InitErgmTerm.dnsp",
        "InitErgmTerm.nsp",
        "nsp-ergmTerm"
      ]
    },
    {
      "page": "observed-ergmConstraint-40f366ed",
      "title": "Preserve the observed dyads of the given network",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "InitErgmConstraint.observed",
        "observed-ergmConstraint"
      ]
    },
    {
      "page": "odegrange-ergmTerm-a29a08d0",
      "title": "Out-degree range",
      "concept": [
        "categorical nodal attribute",
        "directed"
      ],
      "topics": [
        "InitErgmTerm.odegrange",
        "odegrange-ergmTerm"
      ]
    },
    {
      "page": "odegree-ergmTerm-12c180fc",
      "title": "Out-degree",
      "concept": [
        "categorical nodal attribute",
        "directed",
        "frequently-used"
      ],
      "topics": [
        "InitErgmTerm.odegree",
        "odegree-ergmTerm"
      ]
    },
    {
      "page": "odegree15-ergmTerm-8ee8801b",
      "title": "Out-degree to the 3/2 power",
      "concept": [
        "directed"
      ],
      "topics": [
        "InitErgmTerm.odegree1.5",
        "odegree1.5-ergmTerm"
      ]
    },
    {
      "page": "odegreedist-ergmConstraint-692ae020",
      "title": "Preserve the outdegree distribution",
      "concept": [
        "directed"
      ],
      "topics": [
        "InitErgmConstraint.odegreedist",
        "odegreedist-ergmConstraint"
      ]
    },
    {
      "page": "odegrees-ergmConstraint-43961eb5",
      "title": "Preserve outdegree for directed networks",
      "concept": [
        "directed"
      ],
      "topics": [
        "InitErgmConstraint.odegrees",
        "odegrees-ergmConstraint"
      ]
    },
    {
      "page": "Offset-ergmTerm-b7b3ddc4",
      "title": "Terms with fixed coefficients",
      "concept": [
        "operator"
      ],
      "topics": [
        "InitErgmTerm.Offset",
        "Offset-ergmTerm"
      ]
    },
    {
      "page": "opentriad-ergmTerm-f67c1cac",
      "title": "Open triads",
      "concept": [
        "triad-related",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.opentriad",
        "opentriad-ergmTerm"
      ]
    },
    {
      "page": "ostar-ergmTerm-88787ec2",
      "title": "k-Outstars",
      "concept": [
        "categorical nodal attribute",
        "directed"
      ],
      "topics": [
        "InitErgmTerm.ostar",
        "ostar-ergmTerm"
      ]
    },
    {
      "page": "param_names",
      "title": "Names of the parameters associated with an object.",
      "topics": [
        "param_names",
        "param_names.default",
        "param_names<-"
      ]
    },
    {
      "page": "predict.formula",
      "title": "ERGM-based tie probabilities",
      "topics": [
        "predict.ergm",
        "predict.formula"
      ]
    },
    {
      "page": "Prod-ergmTerm-1bd03b4f",
      "title": "A product (or an arbitrary power combination) of one or more formulas",
      "concept": [
        "operator"
      ],
      "topics": [
        "InitErgmTerm.Prod",
        "InitWtErgmTerm.Prod",
        "Prod-ergmTerm"
      ]
    },
    {
      "page": "Project-ergmTerm-36962a06",
      "title": "Evaluation on a projection of a bipartite network",
      "concept": [
        "bipartite",
        "operator"
      ],
      "topics": [
        "InitErgmTerm.Proj1",
        "InitErgmTerm.Proj2",
        "InitErgmTerm.Project",
        "Proj1-ergmTerm",
        "Proj2-ergmTerm",
        "Project-ergmTerm"
      ]
    },
    {
      "page": "rank_test.ergm",
      "title": "A lack-of-fit test for ERGMs",
      "topics": [
        "rank_test.ergm"
      ]
    },
    {
      "page": "receiver-ergmTerm-1f82207a",
      "title": "Receiver effect",
      "concept": [
        "directed",
        "dyad-independent"
      ],
      "topics": [
        "InitErgmTerm.receiver",
        "InitWtErgmTerm.receiver",
        "receiver-ergmTerm"
      ]
    },
    {
      "page": "S-ergmTerm-28cff48d",
      "title": "Evaluation on an induced subgraph",
      "concept": [
        "operator"
      ],
      "topics": [
        "InitErgmTerm.S",
        "InitWtErgmTerm.S",
        "S-ergmTerm"
      ]
    },
    {
      "page": "sampson",
      "title": "Longitudinal and cumulative networks of positive and negative affect in a monastery",
      "topics": [
        "sampdlk1",
        "sampdlk2",
        "sampdlk3",
        "samplike",
        "samplk",
        "samplk1",
        "samplk2",
        "samplk3",
        "sampson"
      ]
    },
    {
      "page": "san",
      "title": "Generate networks with a given set of network statistics",
      "topics": [
        "san",
        "san.default",
        "san.ergm_model",
        "san.formula"
      ]
    },
    {
      "page": "search.ergmTerms",
      "title": "Search ERGM terms, constraints, references, hints, and proposals",
      "topics": [
        "search.ergmConstraints",
        "search.ergmHints",
        "search.ergmProposals",
        "search.ergmReferences",
        "search.ergmTerms"
      ]
    },
    {
      "page": "sender-ergmTerm-e4dff00f",
      "title": "Sender effect",
      "concept": [
        "directed",
        "dyad-independent"
      ],
      "topics": [
        "InitErgmTerm.sender",
        "InitWtErgmTerm.sender",
        "sender-ergmTerm"
      ]
    },
    {
      "page": "simmelian-ergmTerm-15e60325",
      "title": "Simmelian triads",
      "concept": [
        "directed",
        "triad-related"
      ],
      "topics": [
        "InitErgmTerm.simmelian",
        "simmelian-ergmTerm"
      ]
    },
    {
      "page": "simmelianties-ergmTerm-3361aef9",
      "title": "Ties in simmelian triads",
      "concept": [
        "directed",
        "triad-related"
      ],
      "topics": [
        "InitErgmTerm.simmelianties",
        "simmelianties-ergmTerm"
      ]
    },
    {
      "page": "simulate.ergm",
      "title": "Draw from the distribution of an Exponential Family Random Graph Model",
      "topics": [
        ".simulate_formula.network",
        "simulate.ergm",
        "simulate.ergm_model",
        "simulate.ergm_state",
        "simulate.ergm_state_full",
        "simulate.formula.ergm",
        "simulate.formula_lhs_network",
        "simulate_formula",
        "simulate_formula.ergm_state",
        "simulate_formula.network"
      ]
    },
    {
      "page": "simulate.formula",
      "title": "A 'simulate' Method for 'formula' objects that dispatches based on the Left-Hand Side",
      "topics": [
        "simulate.formula",
        "simulate.formula_lhs"
      ]
    },
    {
      "page": "smalldiff-ergmTerm-11cc89ad",
      "title": "Number of ties between actors with similar attribute values",
      "concept": [
        "directed",
        "dyad-independent",
        "quantitative nodal attribute",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.smalldiff",
        "smalldiff-ergmTerm"
      ]
    },
    {
      "page": "smallerthan-ergmTerm-33549cdd",
      "title": "Number of dyads with values strictly smaller than a threshold",
      "concept": [
        "directed",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "InitWtErgmTerm.smallerthan",
        "smallerthan-ergmTerm"
      ]
    },
    {
      "page": "snctrl",
      "title": "Statnet Control",
      "topics": [
        "snctrl"
      ]
    },
    {
      "page": "sociality-ergmTerm-ecb55eaa",
      "title": "Undirected degree",
      "concept": [
        "categorical nodal attribute",
        "dyad-independent",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.sociality",
        "InitWtErgmTerm.sociality",
        "sociality-ergmTerm"
      ]
    },
    {
      "page": "sparse-ergmHint-ebcaba30",
      "title": "Sparse network",
      "concept": [
        "dyad-independent"
      ],
      "topics": [
        "InitErgmConstraint.sparse",
        "sparse-ergmConstraint",
        "sparse-ergmHint"
      ]
    },
    {
      "page": "spectrum0.mvar",
      "title": "Multivariate version of 'coda''s 'spectrum0.ar()'.",
      "topics": [
        "spectrum0.mvar"
      ]
    },
    {
      "page": "StdNormal-ergmReference-e2f0c57c",
      "title": "Standard Normal reference",
      "concept": [
        "continuous"
      ],
      "topics": [
        "InitErgmReference.StdNormal",
        "StdNormal-ergmReference"
      ]
    },
    {
      "page": "strat-ergmHint-468d7d5e",
      "title": "Stratify Proposed Toggles by Mixing Type on a Vertex Attribute",
      "concept": [
        "dyad-independent"
      ],
      "topics": [
        "InitErgmConstraint.strat",
        "strat-ergmConstraint",
        "strat-ergmHint"
      ]
    },
    {
      "page": "sum-ergmTerm-304f882f",
      "title": "Sum of dyad values (optionally taken to a power)",
      "concept": [
        "directed",
        "undirected"
      ],
      "topics": [
        "InitWtErgmTerm.sum",
        "sum-ergmTerm"
      ]
    },
    {
      "page": "Sum-ergmTerm-fe08cb7f",
      "title": "A sum (or an arbitrary linear combination) of one or more formulas",
      "concept": [
        "operator"
      ],
      "topics": [
        "InitErgmTerm.Sum",
        "InitWtErgmTerm.Sum",
        "Sum-ergmTerm"
      ]
    },
    {
      "page": "summary.ergm",
      "title": "Summarizing ERGM Model Fits",
      "topics": [
        "print.summary.ergm",
        "summary.ergm"
      ]
    },
    {
      "page": "summary.formula",
      "title": "Calculation of network or graph statistics or other attributes specified on a formula",
      "topics": [
        "summary",
        "summary.formula"
      ]
    },
    {
      "page": "Symmetrize-ergmTerm-61cab8ac",
      "title": "Evaluation on symmetrized (undirected) network",
      "concept": [
        "directed",
        "operator"
      ],
      "topics": [
        "InitErgmTerm.Symmetrize",
        "InitWtErgmTerm.Symmetrize",
        "Symmetrize-ergmTerm"
      ]
    },
    {
      "page": "threetrail-ergmTerm-2ad16d45",
      "title": "Three-trails",
      "concept": [
        "directed",
        "triad-related",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.threepath",
        "InitErgmTerm.threetrail",
        "threepath-ergmTerm",
        "threetrail-ergmTerm"
      ]
    },
    {
      "page": "transitive-ergmTerm-838987d1",
      "title": "Transitive triads",
      "concept": [
        "directed",
        "triad-related"
      ],
      "topics": [
        "InitErgmTerm.transitive",
        "transitive-ergmTerm"
      ]
    },
    {
      "page": "transitiveties-ergmTerm-3382c137",
      "title": "Transitive ties",
      "concept": [
        "categorical nodal attribute",
        "directed",
        "triad-related",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.transitiveties",
        "transitiveties-ergmTerm"
      ]
    },
    {
      "page": "transitiveweights-ergmTerm-7797c57b",
      "title": "Transitive weights",
      "concept": [
        "directed",
        "nonnegative",
        "triad-related",
        "undirected"
      ],
      "topics": [
        "InitWtErgmTerm.transitiveweights",
        "transitiveweights-ergmTerm"
      ]
    },
    {
      "page": "triadcensus-ergmTerm-6a6bbd87",
      "title": "Triad census",
      "concept": [
        "directed",
        "triad-related",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.triadcensus",
        "triadcensus-ergmTerm"
      ]
    },
    {
      "page": "triadic-ergmHint-b01cc436",
      "title": "Network with strong clustering (triad-closure) effects",
      "concept": [
        "dyad-dependent"
      ],
      "topics": [
        ".triadic-ergmHint",
        "InitErgmConstraint..triadic",
        "InitErgmConstraint.triadic",
        "triadic-ergmConstraint",
        "triadic-ergmHint"
      ]
    },
    {
      "page": "triangle-ergmTerm-9b49a585",
      "title": "Triangles",
      "concept": [
        "categorical nodal attribute",
        "directed",
        "frequently-used",
        "triad-related",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.triangle",
        "triangle-ergmTerm",
        "triangles-ergmTerm"
      ]
    },
    {
      "page": "tripercent-ergmTerm-a932d91a",
      "title": "Triangle percentage",
      "concept": [
        "categorical nodal attribute",
        "triad-related",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.tripercent",
        "tripercent-ergmTerm"
      ]
    },
    {
      "page": "ttriple-ergmTerm-db2252b3",
      "title": "Transitive triples",
      "concept": [
        "categorical nodal attribute",
        "directed",
        "triad-related"
      ],
      "topics": [
        "InitErgmTerm.ttriad",
        "InitErgmTerm.ttriple",
        "ttriad-ergmTerm",
        "ttriple-ergmTerm"
      ]
    },
    {
      "page": "twopath-ergmTerm-930ae8af",
      "title": "2-Paths",
      "concept": [
        "directed",
        "undirected"
      ],
      "topics": [
        "InitErgmTerm.twopath",
        "twopath-ergmTerm"
      ]
    },
    {
      "page": "Unif-ergmReference-2d53092d",
      "title": "Continuous Uniform reference",
      "concept": [
        "continuous"
      ],
      "topics": [
        "InitErgmReference.Unif",
        "Unif-ergmReference"
      ]
    },
    {
      "page": "update.network",
      "title": "Update the edges in a network based on a matrix",
      "topics": [
        "update.network",
        "update_network",
        "update_network.data.frame",
        "update_network.ergm_state",
        "update_network.matrix",
        "update_network.matrix_edgelist"
      ]
    },
    {
      "page": "wtd.median",
      "title": "Weighted Median",
      "topics": [
        "wtd.median"
      ]
    }
  ],
  "_readme": "https://github.com/statnet/ergm/raw/HEAD/README.md",
  "_rundeps": [
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    "cli",
    "coda",
    "DEoptimR",
    "evaluate",
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    "lattice",
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    "lpSolveAPI",
    "magrittr",
    "MASS",
    "Matrix",
    "memoise",
    "network",
    "pillar",
    "pkgconfig",
    "purrr",
    "rbibutils",
    "Rdpack",
    "rlang",
    "rle",
    "robustbase",
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    "stringi",
    "stringr",
    "tibble",
    "trust",
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    "vctrs",
    "xfun",
    "yaml"
  ],
  "_vignettes": [
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      "source": "cpp-api.Rmd",
      "filename": "cpp-api.html",
      "title": "A C++ shim for ergm",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Core Concepts",
        "Network Wrappers: ErgmCppNetwork and ErgmCppWtNetwork",
        "Model Terms: ErgmCppModelTerm and ErgmCppWtModelTerm",
        "Proposals: ErgmCppProposal and ErgmCppWtProposal",
        "Helper macros",
        "Examples",
        "Notes and Best Practices"
      ],
      "created": "2025-12-21 12:04:48",
      "modified": "2026-02-10 07:31:55",
      "commits": 4
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    {
      "source": "Network-Callback-API.Rmd",
      "filename": "Network-Callback-API.html",
      "title": "API for Callback Functions for Network and WtNetwork Structures",
      "author": "Pavel N. Krivitsky",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Types of storage and types of term",
        "Formal API definition",
        "New types",
        "New struct elements",
        "Network and WtNetwork",
        "New functions",
        "NB: Undefined Behaviour Sanitisers"
      ],
      "created": "2020-05-02 07:10:33",
      "modified": "2024-11-05 06:47:34",
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    },
    {
      "source": "Terms-API.Rmd",
      "filename": "Terms-API.html",
      "title": "API for ergm Terms",
      "author": "Pavel N. Krivitsky",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Summary",
        "Overview",
        "Types of storage and types of term",
        "Code path",
        "Formal API definition",
        "Evaluation API",
        "R side",
        "InitErgmTerm.* and InitWtErgmTerm.* functions",
        "Expects",
        "Returns",
        "C side",
        "ModelTerm and WtModelTerm data structures",
        "c_, d_, and s_ functions",
        "Macros",
        "Side-effects",
        "Storage API",
        "C side: Modifying Storage",
        "i_ functions: Initializer/Constructor",
        "u_ functions: Updater",
        "f_ functions: Finalizer/Destructor",
        "C side: Accessing Storage",
        "Private storage",
        "Public storage",
        "x_ functions: eXtensions",
        "w_ functions: save extended state",
        "Memory management",
        "Miscellaneous helpers",
        "MHproposal storage API",
        "Auxiliaries"
      ],
      "created": "2019-06-22 21:00:46",
      "modified": "2025-08-26 01:39:08",
      "commits": 18
    },
    {
      "source": "Proposal-Lookup-API.Rmd",
      "filename": "Proposal-Lookup-API.html",
      "title": "API for MCMC Proposal Selection",
      "author": "Pavel N. Krivitsky",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Summary",
        "Description",
        "Inputs",
        "Code Path"
      ],
      "created": "2020-06-01 05:50:23",
      "modified": "2026-03-20 05:29:57",
      "commits": 9
    },
    {
      "source": "ergm-term-crossRef.Rmd",
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