availableTypeMeasures | Display the names of the measures used in CV for different... |
buildPredMat | Build a prediction matrix from CV model fits |
checkValidTypeMeasure | Check if loss function is valid for a given family |
computeError | Compute CV statistics from a prediction matrix |
computeRawError | Compute the nobs by nlambda matrix of errors |
computeStats | Compute CV statistics |
coxnet.deviance | Compute deviance for Cox model |
fid | Helper function for Cox deviance and gradient |
getCindex | Compute C index for a Cox model |
getOptLambda | Get lambda.min and lambda.1se values |
getTypeMeasureName | Get full name of loss function |
kfoldcv | K-fold cross-validation wrapper |
plot.cvobj | Plot the cross-validation curve from a class 'cvobj' object |
print.cvobj | Print a class 'cvobj' object |
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