Regularization paths for MCP and SCAD penalized regression models

ncvreg is an R package for fitting 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.

post-selection inference, see Breheny P (2019). Marginal false discovery rates for penalized regression models. Biostatistics, 20: 299-314

Installation

To install the latest release version from CRAN:

install.packages("ncvreg")

To install the latest development version from GitHub:

remotes::install_github("pbreheny/ncvreg")

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install.packages('ncvreg')

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4,495

Version

3.14.1

License

GPL-3

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Last Published

April 25th, 2023

Functions in ncvreg (3.14.1)