cleanup_model

Provides tools and pre-trained Machine Learning [ML] models for
calibration of Agent-Based Models [ABMs] built with the R package
'epiworldR'. Implements methods described in Najafzadehkhoei, Vega Yon,
Modenesi, and Meyer (2025) <doi:10.48550/arXiv.2509.07013>. Users can
automatically calibrate ABMs in seconds with pre-trained ML models,
effectively focusing on simulation rather than calibration. Bridges a gap
by allowing public health practitioners to run their own ABMs without the
advanced technical expertise often required by calibration.

Sima Najafzadehkhoei

cleanup_model: Unload the model from memory

Description

Usage

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