testthat::skip_on_cran() debug_flag <- FALSE # Simple test familiar:::integrated_test(experimental_design="fs+mb", fs_method="none", cluster_method="none", imputation_method="simple", parallel=FALSE, skip_evaluation_elements="all", outcome_type_available="binomial", debug=debug_flag) # Bootstrap (without optimisation within bootstraps) familiar:::integrated_test(experimental_design="bt(fs+mb, 5)", fs_method="none", cluster_method="none", imputation_method="simple", parallel=FALSE, skip_evaluation_elements="all", outcome_type_available="binomial", debug=debug_flag) # Bootstrap (with pre-processing and optimisation within bootstraps) familiar:::integrated_test(experimental_design="bs(fs+mb, 5)", fs_method="none", cluster_method="none", imputation_method="simple", parallel=FALSE, skip_evaluation_elements="all", outcome_type_available="binomial", debug=debug_flag) # Cross-validation familiar:::integrated_test(experimental_design="cv(fs+mb, 3)", fs_method="none", cluster_method="none", imputation_method="simple", parallel=FALSE, skip_evaluation_elements="all", outcome_type_available="binomial", debug=debug_flag) # Leave-one-out cross-validation familiar:::integrated_test(experimental_design="lv(fs+mb)", fs_method="none", cluster_method="none", imputation_method="simple", parallel=FALSE, skip_evaluation_elements="all", outcome_type_available="binomial", debug=debug_flag) # Imbalance corrections using full undersampling familiar:::integrated_test(experimental_design="ip(fs+mb)", imbalance_correction_method="full_undersampling", fs_method="none", cluster_method="none", imputation_method="simple", parallel=FALSE, skip_evaluation_elements="all", outcome_type_available="binomial", warning_good="Imbalance partitions are not required as data are not severely imbalanced.", warning_bad="Imbalance partitions are not required as data are not severely imbalanced.", debug=debug_flag) # Imbalance corrections using full undersampling familiar:::integrated_test(experimental_design="ip(fs+mb)", imbalance_correction_method="random_undersampling", imbalance_n_partitions=3, fs_method="none", cluster_method="none", imputation_method="simple", parallel=FALSE, skip_evaluation_elements="all", outcome_type_available="binomial", warning_good="Imbalance partitions are not required as data are not severely imbalanced.", warning_bad="Imbalance partitions are not required as data are not severely imbalanced.", debug=debug_flag)