Man pages for cvwrapr
Tools for Cross Validation
| 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 |
