MLmorph - Integrating Morphological Modeling and Machine Learning for
Decision Support
Integrating morphological modeling with machine learning
to support structured decision-making (e.g., in management and
consulting). The package enumerates a morphospace of feasible
configurations and uses random forests to estimate class
probabilities over that space, bridging deductive model
exploration with empirical validation. It includes utilities
for factorizing inputs, model training, morphospace
construction, and an interactive 'shiny' app for scenario
exploration.
