Package index
-
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
-
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.