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  "Title": "Regression of Network Responses",
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  "Description": "Regress network responses (both directed and undirected)\nonto covariates of interest that may be actor-, relation-, or\nnetwork-valued. In addition, compute principled variance\nestimates of the coefficients assuming that the errors are\njointly exchangeable. Missing data is accommodated.\nAdditionally implements building and inversion of covariance\nmatrices under joint exchangeability, and generates random\ncovariance matrices from this class. For more detail on\nmethods, see Marrs, Fosdick, and McCormick (2017)\n<arXiv:1701.05530>.",
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  "Author": "Frank W. Marrs [aut, cre], Bailey K. Fosdick [aut], Tyler H.\nMcCormick [aut]",
  "Maintainer": "Frank W. Marrs <frank.marrs@colostate.edu>",
  "Repository": "https://cran.r-universe.dev",
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      "title": "Build an exchangeable matrix of sparseMatrix class",
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      "title": "Coef S3 generic for class lmnet",
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      "title": "Social interaction data set",
      "topics": [
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      "page": "invert_exchangeable_matrix",
      "title": "Invert an exchangeable matrix",
      "topics": [
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      "page": "lmnet",
      "title": "Linear regression for network response",
      "topics": [
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      "title": "model.matrix S3 generic for class lmnet",
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      "title": "Plot S3 generic for class lmnet",
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      "title": "Print S3 generic for class lmnet",
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      "title": "Summary S3 generic for class lmnet",
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      "title": "Summary S3 generic for vnet object",
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      "title": "vcov S3 generic for class lmnet",
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      "title": "Variance computation for linear regression of network response",
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      "title": "Regression with Network Response",
      "author": "Frank W. Marrs, Bailey K. Fosdick, and Tyler H. McCormick",
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      "headings": [
        "Abstract",
        "Introduction",
        "Ordinary Least Squares (OLS)",
        "Generalized Least Squares (GLS)",
        "Multiple observations of the network",
        "Building and inverting exchangeable covariance matrices",
        "Regression examples",
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        "Complete data, undirected",
        "Missing data, directed",
        "Multiple observations case",
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        "References"
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