KfoldCV

The number of folds. k=n would mean a leave-one-out cross-validation


Split a dataset into k parts for k-fold cross-validation. This function is used in 
<code>pact.cv</code> to create the splits for cross-validation


A prediction-based approach to the analysis of data from
randomized clinical trials is implemented. Based on response and
covariate data from a randomized clinical trial comparing a new
experimental treatment E versus a control C, the objective is to
develop and internally validate a model that can identify subjects
likely to benefit from E rather than C. Currently,
survival and binary response types are permitted.

KfoldCV: Split a dataset into k parts for k-fold cross-validation

Description

Usage

Arguments

Value

Examples