Design principles

FeRx is built around a small set of design principles that guide every feature decision. They explain why the engine lives in Rust, why the R, Python, and CLI interfaces are deliberately thin, and why standard NLME datasets and results work without translation.

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Environment-agnostic

FeRx is a Rust-based library designed to integrate seamlessly into any computing environment, including command-line interfaces, R, Python, and Julia.

Computation-focused architecture

Computational and numeric processing are handled exclusively by the Rust library. Language-specific interfaces (e.g., R, Python, CLI) serve only as thin wrappers for minimal data parsing and result formatting. All file I/O relies on language-agnostic formats, avoiding language-specific file types like RDS.

Feature parity

FeRx aims to support all major features found in industry-standard NLME tools, delivering performance that matches or exceeds current standards.

Dataset compatibility

Standard NLME datasets are fully compatible with FeRx without requiring modifications. When utilizing equivalent methods and configurations, results will align closely with established NLME software.

Usability-first design

While FeRx mirrors the functionality of gold-standard NLME tools, every feature is redesigned with a focus on modern usability and user experience.

Comprehensive documentation

FeRx provides exhaustive documentation, featuring detailed function references, clear method explanations, and complete syntax guides.