Function reference • c060

All functions
`epsgo()`	Efficient Parameter Selection via Global Optimization
`PLL(<coxnet>)`	Predictive partial log-likelihood for glmnet Cox PH model fit
`Plot.coef.glmnet()`	function to highlight the path of a pre-specified set of variables within the coefficient path
`Plot.peperr.curves()`	Plot method for prediction error curves of a peperr object
`aggregation.auc()`	Determine the area under the ROC curve for a fitted model
`balancedFolds()`	Function producing stratified/ balanced folds for cross validation
`coef(<sum.intsearch>)`	Get coefficients for a model
`complexity.glmnet()`	Interface for determination of penalty lambda in penalized regression model via cross-validation
`fit.glmnet()`	Interface function for fitting a penalized regression model with `glmnet`
`plot(<stabpath>)`	function to plot a stability path
`plot(<sum.intsearch>)`	Plot Summary object for interval search models
`predictProb(<coxnet>)`	Extract predicted survival probabilities from a glmnet fit
`predictProb(<glmnet>)`	Extract predicted survival probabilities from a glmnet fit
`stabpath()`	Stability path for glmnet models
`stabsel()`	function to estimate a stable set of variables
`summary(<intsearch>)`	Summary method for interval search models
`tune.glmnet.interval()`	Wrapper function for `glmnet` objects.

Reference