Workflow and features of the bregr package (IMAGE)
Caption
The bregr package provides a streamlined, modular workflow for batch regression modeling. The process begins with installation and initialization, followed by core modeling steps such as setting dependent and independent variables, selecting regression types (e.g., linear, logistic, Cox), and fitting models using functions like br_set_y(), br_set_x(), and br_run(). The package supports batch processing of multiple models with parallel computing and robust error handling. Results can be extracted and visualized using tidy outputs, forest plots, risk network plots, and subgroup analyses. The entire workflow is modular, reproducible, and designed for scalability, making bregr a powerful tool for large-scale regression modeling in biomedical datasets.
Credit
Shixiang Wang , Yun Peng , Chenyang Shu, Chunyang Wang , Yuxi Yang , Yankun Zhao , Yanru Cui , Dehua Hu , Jian‐Guo Zhou
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