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