{ "_id": "6a250e474b233be198388be7", "Package": "ncvreg", "Title": "Regularization Paths for SCAD and MCP Penalized Regression\nModels", "Version": "3.16.0.5", "Authors@R": "c(\nperson(\"Patrick\", \"Breheny\", role=c(\"aut\",\"cre\"),\nemail=\"patrick-breheny@uiowa.edu\", comment=c(ORCID=\"0000-0002-0650-1119\")),\nperson(\"Ryan\", \"Miller\", role='aut', comment=c(ORCID=\"0000-0003-0446-9992\")),\nperson(\"Logan\", \"Harris\", role='aut', comment=c(ORCID=\"0000-0001-8562-9534\")))", "Description": "Fits regularization paths for linear regression, GLM, and\nCox regression models using lasso or nonconvex penalties, in\nparticular the minimax concave penalty (MCP) and smoothly\nclipped absolute deviation (SCAD) penalty, with options for\nadditional L2 penalties (the \"elastic net\" idea). Utilities for\ncarrying out cross-validation as well as post-fitting\nvisualization, summarization, inference, and prediction are\nalso provided. 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