CROSSFOLD: Stata module to perform k-fold cross-validation

Abstract

crossfold performs k-fold cross-validation on a specified model in order to evaluate a model's ability to fit out-of-sample data. This procedure splits the data randomly into k partitions, then for each partition it fits the specified model using the other k-1 groups and uses the resulting parameters to predict the dependent variable in the unused group.