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User Guide

This guide covers everything needed to apply Risk Bridge in research and applied analyses.

Overview of Sections

  • Cohorts & Problem Formulation: Conceptual overview of the three-population framework (target, source, reference) and the dual-path analysis structure.
  • Data Preparation & Schemas: Canonical column names, encoding requirements, discrete support assumptions, and handling continuous vs categorical \(Z\).
  • CLI Reference: Comprehensive reference for all command-line arguments for both simulated and user-data workflows.
  • Outputs & Diagnostics: Detailed layout of the output directory, column-by-column schemas of exported CSV files, and how to interpret convergence diagnostics.
  • Python API: Using Risk Bridge as a Python library with typed dataclasses, configuration builders, runners, and result objects.
  • Unified User Guide: A single-page, consolidated reference containing all key instructions and schemas.