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epiworldRcalibrate  

Fast and Effortless Calibration of Agent-Based Models using Machine Learning
View on CRAN: Click here


Download and install epiworldRcalibrate package within the R console
Install from CRAN:
install.packages("epiworldRcalibrate")

Install from Github:
library("remotes")
install_github("cran/epiworldRcalibrate")

Install by package version:
library("remotes")
install_version("epiworldRcalibrate", "0.1.4")



Attach the package and use:
library("epiworldRcalibrate")
Maintained by
Sima Najafzadehkhoei
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-18
Latest Update: 2026-02-18
Description:
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.
How to cite:
Sima Najafzadehkhoei (2026). epiworldRcalibrate: Fast and Effortless Calibration of Agent-Based Models using Machine Learning. R package version 0.1.4, https://cran.r-project.org/web/packages/epiworldRcalibrate. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:36), 0.1.2 (2026-02-18 19:00)
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