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
| Version | Repository | File | Size |
|---|---|---|---|
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
- reticulate (>= 1.41)
- utils