R: An R Package for Biomarkers Analysis in Precision Medicine

# An R Package for Biomarkers Analysis in Precision Medicine

## Documentation for package ‘BioPred’ version 1.0.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

cat_summary | Summarize Categorical Variables in Subgroup
cdf_plot | CDF Plot for a biomarker
cut_perf | Cutoff Performance Evaluation
eval_metric_bin | Evaluation Metrics for XGBoostSub_bin Model
eval_metric_con | Evaluation Metrics for XGBoostSub_con Model
eval_metric_sur | Evaluation Metrics for XGBoostSub_sur Model
fixcut_bin | Fixed Cutoff Analysis for Individual Biomarker Associated with Binary Outcome Variables
fixcut_con | Fixed Cutoff Analysis for Individual Biomarker Associated with Continuous Outcome
fixcut_sur | Fixed Cutoff Analysis for Individual Biomarker Associated with Survival Outcome
gam_ctr_plot | GAM Contrast Plot
gam_plot | GAM Plot
get_subgroup_results | Get Subgroup Results
predictive_biomarker_imp | Plot Predictive Biomarker Importance based on XGBoost-based Subgroup Model
roc_bin | AUC ROC Table for Biomarkers Associated with Binary Outcomes
roc_bin_plot | ROC Plot Biomarkers Associated with Binary Outcomes
scat_cont_plot | Scatter Plot for a Biomarker Associated with Continuous Outcome
subgrp_perf | Subgroup Performance Evaluation for Prognostic Cases
subgrp_perf_pred | Subgroup Performance Evaluation for Predictive Cases
tutorial_data | Tutorial Data
XGBoostSub_bin | XGBoost Model with Modified Loss Function for Subgroup Identification with Binary Outcomes
XGBoostSub_con | XGBoost Model with Modified Loss Function for Subgroup Identification with Continuous Outcomes
XGBoostSub_sur | XGBoost Model with Modified Loss Function for Subgroup Identification with Survival Outcomes