Package index
- 
          get_all_lb_TESTCD_zscore()
- Get Laboratory Test Results (LB) domain Z-score for all the 'TESTCD' for a given STUDYID from SQLite Database or .xptFiles
- 
          get_all_TESTCD_rf_input_param_list_output_cv_imp()
- Prepare and Evaluate Random Forest Model with Cross-Validation and Feature Importance
- 
          get_auc_curve_with_rf_model()
- Compute and Plot AUC Curve with Random Forest Model
- 
          get_bw_score()
- Calculate Body Weight Z-score for a given STUDYID from SQLite Database or .xptFiles
- 
          get_col_harmonized_scores_df()
- get_col_harmonized_scores_df
- 
          get_compile_data()
- Retrieve and Compile Study Data from SQLite Database or .xptFiles
- 
          get_Data_formatted_for_ml_and_best.m()
- Retrieve and Preprocess Data for Machine Learning Models
- 
          get_histogram_barplot()
- Generate Histogram or Bar Plot for Liver-Related Scores
- 
          get_imp_features_from_rf_model_with_cv()
- Get Important Features from Random Forest Model with Cross-Validation
- 
          get_indiv_score_om_lb_mi_domain_df()
- get_liver_om_lb_mi_tox_score_list
- 
          get_lb_score()
- Get Laboratory Test Results (LB) domain Z-score for a given STUDYID from SQLite Database or .xptFiles
- 
          get_livertobw_score()
- Calculate Liver-to-Body-Weight ratio Z-Scores for each animal in a given STUDYID from SQLite Database or .xptFiles
- 
          get_liver_om_lb_mi_tox_score_list()
- get_liver_om_lb_mi_tox_score_list
- 
          get_mi_score()
- Get Microscopic Findings (MI) domain Z-score for a given STUDYID from SQLite Database or .xptFiles
- 
          get_ml_data_and_tuned_hyperparameters()
- Get Random Forest Data and Tuned Hyperparameters
- 
          get_prediction_plot()
- Generate Prediction Plot for Random Forest Model
- 
          get_repeat_dose_parallel_studyids()
- Get Repeat Dose Parallel Study IDs
- 
          get_reprtree_from_rf_model()
- Get Representation Tree from Random Forest Model
- 
          get_rf_input_param_list_output_cv_imp()
- Prepare and Evaluate Random Forest Model with Cross-Validation and Feature Importance
- 
          get_rf_model_output_cv_imp()
- Perform Cross-Validation with Random Forest and Feature Importance Calculation
- 
          get_rf_model_with_cv()
- Random Forest with Cross-Validation
- 
          get_treatment_group_amin()
- Get SETCD of treatment group for a given STUDYID from SQLite Database or .xptFiles
- 
          get_zone_exclusioned_rf_model_with_cv()
- Random Forest Model with Cross-validation and Exclusion