Learn R Programming

ncvreg (version 3.13.0)

ncvreg-package: Regularization paths for SCAD- and MCP-penalized regression models

Description

Efficient algorithms for fitting regularization paths for a variety of regression models (linear, logistic, Poisson, survival) penalized by MCP or SCAD, with optional additional L2 penalty.

Arguments

Author

Patrick Breheny <patrick-breheny@uiowa.edu>

Details

Accepts a design matrix X and vector of responses y, produces the regularization path over a grid of values for the tuning parameter lambda. Also provides methods for plotting, cross-validation-based inference, and for determining locally convex regions of the coefficients paths.

See the "Getting started" vignette for a brief overview of how the package works.

Visit the ncvreg website for more details.

References

Breheny P and Huang J. (2011) Coordinate descentalgorithms for nonconvex penalized regression, with applications to biological feature selection. Annals of Applied Statistics, 5: 232-253. tools:::Rd_expr_doi("10.1214/10-AOAS388")

Examples

Run this code
if (FALSE) {
vignette("getting-started", package="ncvreg")
}

Run the code above in your browser using DataLab