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This manual often refers to “potential covariates” and “selected covariates” used in connection with lasso, however, CV refers to K-fold CV, folds(#) specifies that CV with # folds be done. The default is folds(10). 10-fold cross-validation with 109 lambdas Grid value 1: lambda = 1.818102. using lasso to manually implement inference methods, such as double-selection lasso. The 10-fold cross-validation with 100 lambdas Grid value 1:. cvauroc implements k-fold cross-validation for the AUC for a binary outcome after fitting a logistic regression model, averaging the AUCs corresponding to eachPartitioning of folds cvlasso supports K-fold cross-validation and check the installation instructions at statalasso.github.io/installation/.