DICEr                   DICEr Function for Training and Evaluating a
                        Deep Learning Model
DecoderRNN              DecoderRNN Neural Network Module
EncoderRNN              EncoderRNN Neural Network Module
analysis_p_value_related
                        Analyze P-Value and Outcome Ratios for Clusters
analysis_p_value_related_onlyc
                        Analyze P-Value and Outcome Ratios for Clusters
                        Using Only Cluster Information
change_label_from_highratio_to_lowratio
                        Reassign Cluster Labels Based on Outcome Ratios
func_analysis_test_error_D0406
                        Analyze Test Error and Performance Metrics for
                        a Model
main                    Main Function for Training and Evaluating a
                        Deep Learning Model
model_2                 model_2 Neural Network Module
p_value_calculate       Calculate P-Value for Logistic Regression Model
parse_args              Parse Command-Line Arguments for PPD-Aware
                        Clustering
test_AE                 Evaluate Autoencoder Model on Test Data
update_M                Update Cluster Embeddings in Matrix M
update_testset_R_C_M_K
                        Update Test Set Representations, Cluster
                        Assignments, and Cluster Centers
