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  "Title": "Latent Order Logistic Graph Models",
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  "Description": "Estimation of Latent Order Logistic (LOLOG) Models for\nNetworks. LOLOGs are a flexible and fully general class of\nstatistical graph models. This package provides functions for\nperforming MOM, GMM and variational inference. Visual\ndiagnostics and goodness of fit metrics are provided. See\nFellows (2018) <doi:10.48550/arXiv.1804.04583> for a detailed\ndescription of the methods.",
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  "Repository": "https://statnet.r-universe.dev",
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    "_rcpp_module_boot_lolog",
    "as.BinaryNet",
    "as.BinaryNet.default",
    "as.network",
    "as.network.Rcpp_DirectedNet",
    "as.network.Rcpp_UndirectedNet",
    "calculateStatistics",
    "coef.lolog",
    "createCppModel",
    "createLatentOrderLikelihood",
    "DirectedLatentOrderLikelihood",
    "DirectedModel",
    "DirectedNet",
    "gofit",
    "gofit.lolog",
    "initLologStatistics",
    "inlineLologPlugin",
    "lolog",
    "lologPackageSkeleton",
    "lologVariational",
    "plot.gofit",
    "plot.lologGmm",
    "plot.Rcpp_DirectedNet",
    "plot.Rcpp_UndirectedNet",
    "print.gofit",
    "print.lolog",
    "print.lologVariationalFit",
    "registerDirectedStatistic",
    "registerUndirectedStatistic",
    "runLologCppTests",
    "simulate.lolog",
    "summary.lolog",
    "UndirectedLatentOrderLikelihood",
    "UndirectedModel",
    "UndirectedNet"
  ],
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    {
      "name": "lazega",
      "title": "Collaboration Relationships Among Partners at a New England Law Firm",
      "object": "lazega",
      "file": "lazega.rda",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "ukFaculty",
      "title": "Friendship network of a UK university faculty",
      "object": "ukFaculty",
      "file": "ukFaculty.rda",
      "class": [
        "network"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "extract-methods",
      "title": "indexing",
      "topics": [
        "[",
        "[,Rcpp_DirectedNet,ANY,ANY,ANY-method",
        "[,Rcpp_DirectedNet-method",
        "[,Rcpp_UndirectedNet,ANY,ANY,ANY-method",
        "[,Rcpp_UndirectedNet-method",
        "[<-",
        "[<-,Rcpp_DirectedNet,ANY,ANY,ANY-method",
        "[<-,Rcpp_DirectedNet-method",
        "[<-,Rcpp_UndirectedNet,ANY,ANY,ANY-method",
        "[<-,Rcpp_UndirectedNet-method",
        "\\S4method{[<-}{Rcpp_DirectedNet,ANY,ANY,ANY}",
        "\\S4method{[<-}{Rcpp_UndirectedNet,ANY,ANY,ANY}",
        "\\S4method{[}{Rcpp_DirectedNet,ANY,ANY,ANY}",
        "\\S4method{[}{Rcpp_UndirectedNet,ANY,ANY,ANY}"
      ]
    },
    {
      "page": "as.BinaryNet",
      "title": "Convert to either an UndirectedNet or DirectedNet object",
      "topics": [
        "as.BinaryNet"
      ]
    },
    {
      "page": "as.BinaryNet.default",
      "title": "Convert to either an UndirectedNet or DirectedNet object",
      "topics": [
        "as.BinaryNet.default"
      ]
    },
    {
      "page": "as.network",
      "title": "Network conversion",
      "topics": [
        "as.network"
      ]
    },
    {
      "page": "as.network.Rcpp_DirectedNet",
      "title": "Convert a DirectedNet to a network object",
      "topics": [
        "as.network.Rcpp_DirectedNet"
      ]
    },
    {
      "page": "as.network.Rcpp_UndirectedNet",
      "title": "Convert a UndirectedNet to a network object",
      "topics": [
        "as.network.Rcpp_UndirectedNet"
      ]
    },
    {
      "page": "BinaryNet",
      "title": "BinaryNet",
      "topics": [
        "BinaryNet",
        "DirectedNet",
        "Rcpp_DirectedNet-class",
        "Rcpp_UndirectedNet-class",
        "UndirectedNet"
      ]
    },
    {
      "page": "calculateStatistics",
      "title": "Calculate network statistics from a formula",
      "topics": [
        "calculateStatistics"
      ]
    },
    {
      "page": "call-symbols",
      "title": "Internal Symbols",
      "topics": [
        "call-symbols",
        "initLologStatistics",
        "runLologCppTests",
        "_lolog_initStats",
        "_rcpp_module_boot_lolog"
      ]
    },
    {
      "page": "coef.lolog",
      "title": "Extracts estimated model coefficients.",
      "topics": [
        "coef.lolog"
      ]
    },
    {
      "page": "createCppModel",
      "title": "Creates a model",
      "topics": [
        "createCppModel"
      ]
    },
    {
      "page": "createLatentOrderLikelihood",
      "title": "Creates a probability model for a latent ordered network model",
      "topics": [
        "createLatentOrderLikelihood"
      ]
    },
    {
      "page": "gofit",
      "title": "Conduct goodness of fit diagnostics",
      "topics": [
        "gofit"
      ]
    },
    {
      "page": "gofit.lolog",
      "title": "Goodness of Fit Diagnostics for a LOLOG fit",
      "topics": [
        "gofit.lolog"
      ]
    },
    {
      "page": "inlineLologPlugin",
      "title": "An lolog plug-in for easy C++ prototyping and access",
      "topics": [
        "inlineLologPlugin"
      ]
    },
    {
      "page": "LatentOrderLikelihood",
      "title": "LatentOrderLikelihood",
      "topics": [
        "DirectedLatentOrderLikelihood",
        "LatentOrderLikelihood",
        "Rcpp_DirectedLatentOrderLikelihood-class",
        "Rcpp_UndirectedLatentOrderLikelihood-class",
        "UndirectedLatentOrderLikelihood"
      ]
    },
    {
      "page": "lazega",
      "title": "Collaboration Relationships Among Partners at a New England Law Firm",
      "topics": [
        "lazega"
      ]
    },
    {
      "page": "lolog",
      "title": "Fits a LOLOG model via Monte Carlo Generalized Method of Moments",
      "topics": [
        "lolog"
      ]
    },
    {
      "page": "lolog-terms",
      "title": "LOLOG Model Terms",
      "topics": [
        "lolog-terms"
      ]
    },
    {
      "page": "LologModels",
      "title": "Models",
      "topics": [
        "DirectedModel",
        "LologModels",
        "Rcpp_DirectedModel-class",
        "Rcpp_UndirectedModel-class",
        "UndirectedModel"
      ]
    },
    {
      "page": "lologPackageSkeleton",
      "title": "Create a skeleton for a package extending lolog",
      "topics": [
        "lologPackageSkeleton"
      ]
    },
    {
      "page": "lologVariational",
      "title": "Fits a latent ordered network model using Monte Carlo variational inference",
      "topics": [
        "lologVariational"
      ]
    },
    {
      "page": "plot.gofit",
      "title": "Plots a gofit object",
      "topics": [
        "plot.gofit"
      ]
    },
    {
      "page": "plot.lologGmm",
      "title": "Conduct Monte Carlo diagnostics on a lolog model fit",
      "topics": [
        "plot.lologGmm"
      ]
    },
    {
      "page": "plot.Rcpp_DirectedNet",
      "title": "plot an DirectedNet object",
      "topics": [
        "plot.Rcpp_DirectedNet"
      ]
    },
    {
      "page": "plot.Rcpp_UndirectedNet",
      "title": "Plot an UndirectedNet object",
      "topics": [
        "plot.Rcpp_UndirectedNet"
      ]
    },
    {
      "page": "print.gofit",
      "title": "prints a gofit object",
      "topics": [
        "print.gofit"
      ]
    },
    {
      "page": "print.lolog",
      "title": "Print a `lolog` object",
      "topics": [
        "print.lolog"
      ]
    },
    {
      "page": "print.lologVariationalFit",
      "title": "Print of a lologVariationalFit object",
      "topics": [
        "print.lologVariationalFit"
      ]
    },
    {
      "page": "registerDirectedStatistic",
      "title": "Register Statistics",
      "topics": [
        "registerDirectedOffset",
        "registerDirectedStatistic",
        "registerUndirectedOffset",
        "registerUndirectedStatistic"
      ]
    },
    {
      "page": "simulate.lolog",
      "title": "Generates BinaryNetworks from a fit lolog object",
      "topics": [
        "simulate.lolog"
      ]
    },
    {
      "page": "summary.lolog",
      "title": "Summary of a `lolog` object",
      "topics": [
        "summary.lolog"
      ]
    },
    {
      "page": "ukFaculty",
      "title": "Friendship network of a UK university faculty",
      "topics": [
        "ukFaculty"
      ]
    }
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      "title": "An Example Analysis Using LOLOG",
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        "Introduction to LOLOG",
        "Getting Started",
        "Statistical Network Modeling: The lolog Command and lolog Object",
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        "A Triangle Model",
        "The Effect of Wealth",
        "Does Large Wealth Inequality Matter?",
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        "Terms Provided with lolog",
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