An R Package for Biomarkers Analysis in Precision Medicine
Summarize Categorical Variables in Subgroup
CDF Plot for a biomarker
Cutoff Performance Evaluation
Evaluation Metrics for XGBoostSub_bin Model
Evaluation Metrics for XGBoostSub_con Model
Evaluation Metrics for XGBoostSub_sur Model
Fixed Cutoff Analysis for Individual Biomarker Associated with Binary ...
Fixed Cutoff Analysis for Individual Biomarker Associated with Continu...
Fixed Cutoff Analysis for Individual Biomarker Associated with Surviva...
GAM Contrast Plot
GAM Plot
Get Subgroup Results
Outlier Detection Based on Boxplot
Plot Predictive Biomarker Importance based on XGBoost-based Subgroup M...
ROC Plot Biomarkers Associated with Binary Outcomes
AUC ROC Table for Biomarkers Associated with Binary Outcomes
Scatter Plot for a Biomarker Associated with Continuous Outcome
Subgroup Performance Evaluation for Predictive Cases
Subgroup Performance Evaluation for Prognostic Cases
XGBoost Model with Modified Loss Function for Subgroup Identification ...
XGBoost Model with Modified Loss Function for Subgroup Identification ...
XGBoost Model with Modified Loss Function for Subgroup Identification ...
Provides functions for training extreme gradient boosting model using propensity score A-learning and weight-learning methods. For further details, see Liu et al. (2024) <doi:10.1093/bioinformatics/btae592>.