Data and R scripts for uncertainty and identifiability analysis of mixed-effects models: Examples 1-3

This repository contains supplementary research data (CSV files) and R source code for the analysis of uncertainty and structural identifiability in linear mixed-effects models. The provided materials correspond to three distinct case studies: Example 1: Analysis of a fractional design and the impact of confounding on model stability. Example 2: Evaluation of an expanded dataset (replicates) focusing on "pure error" estimation and its effect on condition numbers. Example 3: Implementation of a fold-over design to achieve improved global stability and full-rank diagnostics. Detailed instructions, model definitions, and parameter settings are provided in the included Read_me file.