Regularization Paths for SCAD and MCP Penalized Regression Models

Documentation for package ‘ncvreg’ version 3.5-1

ncvreg-package	Regularization paths for SCAD- and MCP-penalized regression models
AUC	Calculates AUC for cv.ncvsurv objects
AUC.cv.ncvsurv	Calculates AUC for cv.ncvsurv objects
coef.ncvreg	Model predictions based on a fitted "ncvreg" object.
coef.ncvsurv	Model predictions based on a fitted "ncvsurv" object.
cv.ncvreg	Cross-validation for ncvreg
cv.ncvsurv	Cross-validation for ncvsurv
fir	False inclusion rates for ncvreg (independence approximation)
heart	Risk factors associated with heart disease
Lung	VA lung cancer data set
ncvreg	Fit an MCP- or SCAD-penalized regression path
ncvsurv	Fit an MCP- or SCAD-penalized survival model
perm.ncvreg	Permutation fitting for ncvreg
permres	Permute residuals for a fitted ncvreg model
permres.ncvreg	Permute residuals for a fitted ncvreg model
plot.cv.ncvreg	Plots the cross-validation curve from a "cv.ncvreg" object
plot.fir	Plot false inclusion rate curves
plot.ncvreg	Plot coefficients from a "ncvreg" object
plot.ncvsurv.func	Plot survival curve for ncvsurv model
predict.ncvreg	Model predictions based on a fitted "ncvreg" object.
predict.ncvsurv	Model predictions based on a fitted "ncvsurv" object.
print.summary.cv.ncvreg	Summarizing inferences based on cross-validation
prostate	Factors associated with prostate specific antigen
summary.cv.ncvreg	Summarizing inferences based on cross-validation