compehndly

compehndly is a cross-language collection of derived-variable functions for Personal Exposure Health (PEH) data.

Current focus:

• Python implementation (Polars-first, including LazyFrame workflows)
• R implementation aligned to the same function behavior
• shared conformance vectors to keep Python and R outputs consistent

Repository Layout

• python/: Python package and tests
• R/: R package scaffolding and tests
• shared/conformance/: cross-language conformance cases

Documentation

• Python usage and architecture:
  • python/README.md
• R usage and test setup:
  • R/README.md
• Shared conformance format:
  • shared/conformance/README.md

Conformance

Python and R test runners consume this same file to detect drift across implementations.