{ "_id": "6ad34ed41e212c88a5cf5442", "Package": "amen", "Title": "Additive and Multiplicative Effects Models for Networks and\nRelational Data", "Version": "1.4.4", "Authors@R": "c(person(\"Peter\",\"Hoff\",role=c(\"aut\",\"cre\"),\nemail=\"peter.hoff@duke.edu\"),\nperson(\"Bailey\",\"Fosdick\",role=c(\"aut\")),\nperson(\"Alex\",\"Volfovsky\",role=c(\"aut\")),\nperson(\"Yanjun\",\"He\",role=c(\"ctb\")) )", "Description": "Analysis of dyadic network and relational data using\nadditive and multiplicative effects (AME) models. The basic\nmodel includes regression terms, the covariance structure of\nthe social relations model (Warner, Kenny and Stoto (1979)\n, Wong (1982)\n), and multiplicative factor models\n(Hoff(2009) ). Several different\nlink functions accommodate different relational data\nstructures, including binary/network data, normal relational\ndata, zero-inflated positive outcomes using a tobit model,\nordinal relational data and data from fixed-rank nomination\nschemes. 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