citydistR: City-Adaptive Distance Modelling Utilities
Tools for distribution-aware and city-adaptive analysis of
learning-based road-network distance estimates. Provides detour-factor
diagnostics, a Topological Predictability Index, upper-tail summaries,
modular robust losses, hybrid objective components, adaptive validation
weights, and multi-criteria model evaluation. The functions are designed
as reusable building blocks rather than a fixed model specification.
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