Regularization Paths for SCAD and MCP Penalized Regression Models

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Documentation for package ‘ncvreg’ version 3.14.2

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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