{ "_id": "6ad48c0d8b78ae42bccc564f", "Package": "frailtyMMpen", "Type": "Package", "Title": "Efficient Algorithm for High-Dimensional Frailty Model", "Version": "1.2.1", "Authors@R": "c(person(given = \"Xifen\",\nfamily = \"Huang\",\nrole = c(\"aut\")),\nperson(given = \"Yunpeng\",\nfamily = \"Zhou\",\nrole = c(\"aut\", \"cre\"),\nemail = \"u3514104@connect.hku.hk\"),\nperson(given = \"Jinfeng\",\nfamily = \"Xu\",\nrole = c(\"ctb\")))", "Maintainer": "Yunpeng Zhou ", "Description": "The penalized and non-penalized Minorize-Maximization (MM)\nmethod for frailty models to fit the clustered data,\nmulti-event data and recurrent data. Least absolute shrinkage\nand selection operator (LASSO), minimax concave penalty (MCP)\nand smoothly clipped absolute deviation (SCAD) penalized\nfunctions are implemented. All the methods are computationally\nefficient. 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