{ "_id": "6a103ab1acfb0bcc41c9b450", "Package": "imv", "Title": "Model Comparison via the 'InterModel Vigorish' ('IMV')", "Version": "0.3", "Authors@R": "c(\nperson(\"Ben\", \"Domingue\", email = \"ben.domingue@gmail.com\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Christian\", \"Jackson\", role = \"ctb\")\n)", "Description": "Computes the 'InterModel Vigorish' ('IMV'), a metric for\ncomparing the predictive accuracy of two models for binary\noutcomes. The 'IMV' is derived from the expected value of a\nbettor using one model's predicted probabilities against those\nof a competing model, and is estimated via k-fold\ncross-validation. Methods are provided for generalized linear\nmodels, mixed-effects models ('lme4'), and item response theory\nmodels ('mirt'). 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