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 |