Published May 6, 2024 | Version v2
Preprint Open

Supplementary Code to An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation

Authors/Creators

  • 1. University of Bonn, Life and Medical Sciences Institute
  • 2. University of Bonn, Life and Medical Sciences Institute & Helmholtz Zentrum München, Computational Health Center
  • 3. Pharmaceutical Institute, Department of Clinical Pharmacy, University of Bonn,

Description

Supplementary Code to An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation.

Files

README-zonodo.md

Files (13.2 GB)

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md5:0c26a2a558d92fe52281108cad39bca7
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Additional details

Software

Repository URL
https://github.com/arrjon/Amortized-NLME-Models/tree/ICML2024