AUC |
AUC for cv.ncvsurv objects |
AUC.cv.ncvsurv |
AUC for cv.ncvsurv objects |
coef.cv.ncvreg |
Model predictions based on a fitted ncvreg object. |
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/ncvsurv |
cv.ncvsurv |
Cross-validation for ncvreg/ncvsurv |
Heart |
Risk factors associated with heart disease |
local_mfdr |
Estimate local mFDR for all features |
logLik.ncvreg |
Extract Log-Likelihood |
logLik.ncvsurv |
Extract Log-Likelihood |
Lung |
VA lung cancer data set |
mfdr |
Marginal false discovery rates |
ncvfit |
Direct interface for nonconvex penalized regression (non-pathwise) |
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.cv.ncvreg |
Model predictions based on a fitted ncvreg object. |
predict.cv.ncvsurv |
Model predictions based on a fitted ncvreg object. |
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 cross-validation-based inference |
print.summary.ncvreg |
Summary method for ncvreg objects |
Prostate |
Factors associated with prostate specific antigen |
prostate |
Factors associated with prostate specific antigen |
residuals.ncvreg |
Extract residuals from a ncvreg or ncvsurv fit |
std |
Standardizes a design matrix |
summary.cv.ncvreg |
Summarizing cross-validation-based inference |
summary.ncvreg |
Summary method for ncvreg objects |