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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/ncvsurv |
| cv.ncvsurv | Cross-validation for ncvreg/ncvsurv |
| fir | Marginal false discovery rates |
| Heart | Risk factors associated with heart disease |
| 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 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 |
| std | Standardizes a design matrix |
| summary.cv.ncvreg | Summarizing cross-validation-based inference |
| summary.ncvreg | Summary method for ncvreg objects |
| summary.ncvsurv | Summary method for ncvreg objects |