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. |