CoOL_0_binary_encode_exposure_data |
Binary encode exposure data |
CoOL_0_common_simulation |
Common example |
CoOL_0_complex_simulation |
Complex example |
CoOL_0_confounding_simulation |
Confounding example |
CoOL_0_mediation_simulation |
Mediation example |
CoOL_0_working_example |
CoOL working example with sex, drug A, and drug B |
CoOL_1_initiate_neural_network |
Initiates a non-negative neural network |
CoOL_2_train_neural_network |
Training the non-negative neural network |
CoOL_3_plot_neural_network |
Plotting the non-negative neural network |
CoOL_4_AUC |
Plot the ROC AUC |
CoOL_4_predict_risks |
Predict the risk of the outcome using the fitted non-negative neural network |
CoOL_5_layerwise_relevance_propagation |
Layer-wise relevance propagation of the fitted non-negative neural network |
CoOL_6_calibration_plot |
Calibration curve |
CoOL_6_dendrogram |
Dendrogram and sub-groups |
CoOL_6_individual_effects_matrix |
Risk contribution matrix based on individual effects (had all other exposures been set to zero) |
CoOL_6_number_of_sub_groups |
Number of subgroups |
CoOL_6_sub_groups |
Assign sub-groups |
CoOL_6_sum_of_individual_effects |
Predict the risk based on the sum of individual effects |
CoOL_7_prevalence_and_mean_risk_plot |
Prevalence and mean risk plot |
CoOL_8_mean_risk_contributions_by_sub_group |
Mean risk contributions by sub-groups |
CoOL_9_visualised_mean_risk_contributions |
Visualisation of the mean risk contributions by sub-groups |
CoOL_9_visualised_mean_risk_contributions_legend |
Legend to the visualisation of the mean risk contributions by sub-groups |
CoOL_default |
The default analysis for computational phase of CoOL |
cpp_train_network_relu |
Function used as part of other functions |
random |
Function used as part of other functions |
rcpprelu |
Function used as part of other functions |
rcpprelu_neg |
Function used as part of other functions |
relu |
Function used as part of other functions |