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  "Title": "SEM Model Comparison with K-Fold Cross-Validation",
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  "Authors@R": "c(person(\"Anna\", \"Wysocki\", , \"awysocki@ucdavis.edu\", role = c(\"aut\",\"cre\")),\nperson(\"Danielle\", \"Siegel\", , \"dpsiegel@ucdavis.edu\", role = c(\"aut\")),\nperson(\"Cameron\", \"allen\", , \"camallen@ucdavis.edu\", role = c(\"aut\")),\nperson(\"Philippe\", \"Rast\", , \"rast.ph@gmail.com\", role = c(\"aut\")))",
  "Description": "The goal of 'cvsem' is to provide functions that allow for\ncomparing Structural Equation Models (SEM) using\ncross-validation. Users can specify multiple SEMs using\n'lavaan' syntax. 'cvsem' computes the Kullback Leibler (KL)\nDivergence between 1) the model implied covariance matrix\nestimated from the training data and 2) the sample covariance\nmatrix estimated from the test data described in Cudeck, Robert\n& Browne (1983) <doi:10.18637/jss.v048.i02>. The KL Divergence\nis computed for each of the specified SEMs allowing for the\nmodels to be compared based on their prediction errors.",
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  "Repository": "https://annawysocki.r-universe.dev",
  "Date/Publication": "2022-08-14 19:51:42 UTC",
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