Regularization Paths for SCAD and MCP Penalized Regression Models


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Documentation for package ‘ncvreg’ version 3.9-1

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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 Marginal false discovery rates
heart Risk factors associated with heart disease
Lung VA lung cancer data set
mfdr Marginal false discovery rates
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.mfdr Plot marginal false discovery 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
std Standardizes a design matrix
summary.cv.ncvreg Summarizing inferences based on cross-validation