Data and R scripts for uncertainty and identifiability analysis of mixed-effects models: Examples 1-3
Fuente:
Zenodo
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Recurso digital |
| Sprache: | Englisch |
| Veröffentlicht: |
Zenodo
2026
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866902200545968128 |
|---|---|
| author | Jarosova, Eva |
| author_facet | Jarosova, Eva |
| contents | <p>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:</p> <ul> <li> <p><strong>Example 1:</strong> Analysis of a fractional design and the impact of confounding on model stability.</p> </li> <li> <p><strong>Example 2:</strong> Evaluation of an expanded dataset (replicates) focusing on "pure error" estimation and its effect on condition numbers.</p> </li> <li><strong>Example 3:</strong> Implementation of a fold-over design to achieve improved global stability and full-rank diagnostics.</li> </ul> <p><br>Detailed instructions, model definitions, and parameter settings are provided in the included Read_me file.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19222495 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Data and R scripts for uncertainty and identifiability analysis of mixed-effects models: Examples 1-3 Jarosova, Eva Mixed-effects models Uncertainty evaluation Structural identifiability lme4 Fold-over design Metrology <p>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:</p> <ul> <li> <p><strong>Example 1:</strong> Analysis of a fractional design and the impact of confounding on model stability.</p> </li> <li> <p><strong>Example 2:</strong> Evaluation of an expanded dataset (replicates) focusing on "pure error" estimation and its effect on condition numbers.</p> </li> <li><strong>Example 3:</strong> Implementation of a fold-over design to achieve improved global stability and full-rank diagnostics.</li> </ul> <p><br>Detailed instructions, model definitions, and parameter settings are provided in the included Read_me file.</p> |
| title | Data and R scripts for uncertainty and identifiability analysis of mixed-effects models: Examples 1-3 |
| topic | Mixed-effects models Uncertainty evaluation Structural identifiability lme4 Fold-over design Metrology |
| url | https://doi.org/10.5281/zenodo.19222495 |