{ "_id": "6a181b0eacfb0bcc41db0e0f", "Package": "traineR", "Type": "Package", "Title": "Predictive (Classification and Regression) Models Homologator", "Version": "2.2.0", "Authors@R": "c(\nperson(\"Oldemar\", \"Rodriguez R.\", email = \"oldemar.rodriguez@ucr.ac.cr\", role = c(\"aut\",\"cre\")),\nperson(\"Andres\", \"Navarro D.\", role = c(\"aut\")),\nperson(\"Ariel\", \"Arroyo S.\", role = c(\"aut\")),\nperson(\"Diego\", \"Jimenez A.\", role = c(\"aut\")))", "Description": "Methods to unify the different ways of creating predictive\nmodels and their different predictive formats for\nclassification and regression. It includes methods such as\nK-Nearest Neighbors Schliep, K. P. (2004)\n, Decision Trees Leo Breiman, Jerome\nH. Friedman, Richard A. Olshen, Charles J. Stone (2017)\n, ADA Boosting Esteban Alfaro,\nMatias Gamez, Noelia García (2013) ,\nExtreme Gradient Boosting Chen & Guestrin (2016)\n, Random Forest Breiman (2001)\n, Neural Networks Venables, W. N.,\n& Ripley, B. D. (2002) , Support Vector\nMachines Bennett, K. P. & Campbell, C. (2000)\n, Bayesian Methods Gelman, A.,\nCarlin, J. B., Stern, H. S., & Rubin, D. B. (1995)\n, Linear Discriminant Analysis\nVenables, W. N., & Ripley, B. D. (2002) ,\nQuadratic Discriminant Analysis Venables, W. N., & Ripley, B.\nD. (2002) , Logistic Regression Dobson, A.\nJ., & Barnett, A. G. (2018) and\nPenalized Logistic Regression Friedman, J. H., Hastie, T., &\nTibshirani, R. 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