Description: Efficient algorithms for fitting regularization paths for linear or logistic regression models penalized by MCP or SCAD, with optional additional L2 penalty ("Mnet").

Title: Regularization Paths for SCAD and MCP Penalized Regression
Description: Efficient algorithms for fitting regularization paths for linear or
logistic regression models penalized by MCP or SCAD, with optional additional

Authors@R: person("Patrick", "Breheny", role=c("aut","cre"), email="patrick-breheny@uiowa.edu", comment=c(ORCID="000-0002-0650-1119"))
Description: 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/000-0002-0650-1119>)

Description: 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.

Suggests: survival, parallel, knitr, ashr
Author: Patrick Breheny [aut, cre] (<https://orcid.org/0000-0002-0650-1119>)

Suggests: ashr, knitr, parallel, rmarkdown, survival, tinytest

For more information, see Breheny and Huang (2011) <doi:10.1214/10-AOAS388>
or visit the ncvreg homepage <https://pbreheny.github.io/ncvreg/>.

Author: Patrick Breheny [aut,cre], Sangin Lee [ctb]
Description: Efficient algorithms for fitting regularization paths for linear or logistic regression models penalized by MCP or SCAD, with optional additional L2 penalty.