Tools for Cross Validation

---

Documentation for package ‘cvwrapr’ version 1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

availableTypeMeasures	Display the names of the measures used in CV for different families
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
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