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epiworldRcalibrate

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

v0.1.4 · Apr 2, 2026 · MIT + file LICENSE

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.

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r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 NOTE
r-oldrel-macos-x86_64 NOTE
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r-patched-linux-x86_64 OK
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r-release-windows-x86_64 OK
Check details (3 non-OK)
NOTE r-oldrel-macos-arm64

installed package size

installed size is  5.8Mb
  sub-directories of 1Mb or more:
    models   5.6Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  5.8Mb
  sub-directories of 1Mb or more:
    models   5.6Mb
NOTE r-oldrel-windows-x86_64

installed package size

installed size is  5.7Mb
  sub-directories of 1Mb or more:
    models   5.6Mb

Check History

NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

installed package size

installed size is  5.8Mb
  sub-directories of 1Mb or more:
    models   5.6Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  5.8Mb
  sub-directories of 1Mb or more:
    models   5.6Mb
NOTE r-oldrel-windows-x86_64

installed package size

installed size is  5.7Mb
  sub-directories of 1Mb or more:
    models   5.6Mb

Dependency Network

Dependencies Reverse dependencies reticulate epiworldRcalibrate

Version History

updated 0.1.4 ← 0.1.2 diff Apr 2, 2026
new 0.1.2 Mar 10, 2026