Crandore Hub

epiworldRcalibrate

Fast and Effortless Calibration of Agent-Based Models using Machine Learning

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.

Versions across snapshots

VersionRepositoryFileSize
0.1.4 rolling source/ R- epiworldRcalibrate_0.1.4.tar.gz 5.4 MiB
0.1.4 latest source/ R- epiworldRcalibrate_0.1.4.tar.gz 5.4 MiB
0.1.4 2026-04-23 source/ R- epiworldRcalibrate_0.1.4.tar.gz 5.4 MiB
0.1.4 2026-04-09 windows/windows R-4.5 epiworldRcalibrate_0.1.4.zip 5.4 MiB

Dependencies (latest)

Imports

Suggests