Fits regularization paths for linear regression, GLM, and Cox regression models using lasso or nonconvex penalties, in particular the minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalty, with options for additional L2 penalties (the "elastic net" idea). Utilities for carrying out cross-validation as well as post-fitting visualization, summarization, inference, and prediction are also provided.
|Author||Patrick Breheny [aut, cre] (<https://orcid.org/0000-0002-0650-1119>)|
|Maintainer||Patrick Breheny <[email protected]>|
|Package repository||View on CRAN|
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