v1.1.0 – Extended simulation scenarios and reproducible analysis pipeline
Fuente:
Zenodo
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Recurso digital |
| Veröffentlicht: |
Zenodo
2026
|
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866901615316828160 |
|---|---|
| author | Laura Julià Melis |
| author_facet | Laura Julià Melis |
| contents | <h2>Overview</h2> <p>This release updates the repository to reflect the analyses performed in the revised version of the manuscript comparing distance-based and model-based clustering methods for longitudinal psychiatric data.</p> <p>The repository provides fully reproducible R scripts for both real data analyses and simulation experiments.</p> <h2>Major updates in this release</h2> <h3>Simulation design extended</h3> <ul> <li>Added simulation scenarios with unbalanced group-size distributions, reflecting heterogeneity commonly observed in psychiatric longitudinal cohorts.</li> <li>Implemented missing data mechanisms informed by the empirical missingness pattern observed in the PEPs cohort to increase the realism of the simulated datasets.</li> </ul> <h3>Improved computational pipeline</h3> <p>Simulation and model-fitting procedures were updated to support parallel execution using parLapply, substantially improving computational efficiency for large simulation experiments.</p> <h3>Repository reorganization</h3> <p>The repository structure has been reorganized to clearly separate real-data and simulation analyses:</p> <pre><code>1_Real_data_analysis 1_1_functions.R 1_2_analysis.R 2_Simulated_data_analysis 2_1_functions.R 2_2_analysis_balanced_clusters.R 2_3_analysis_unbalanced_clusters.R </code></pre> <p>This structure improves transparency and reproducibility of the different analytical components.</p> <h3>Purpose of the repository</h3> <p>This repository supports methodological research on identifying trajectory-based response phenotypes in longitudinal psychiatric data and enables full reproducibility of the analyses reported in the accompanying manuscript.</p> <h3>Citation</h3> <p>If you use this code, please cite the Zenodo DOI associated with this release.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18980293 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | v1.1.0 – Extended simulation scenarios and reproducible analysis pipeline Laura Julià Melis <h2>Overview</h2> <p>This release updates the repository to reflect the analyses performed in the revised version of the manuscript comparing distance-based and model-based clustering methods for longitudinal psychiatric data.</p> <p>The repository provides fully reproducible R scripts for both real data analyses and simulation experiments.</p> <h2>Major updates in this release</h2> <h3>Simulation design extended</h3> <ul> <li>Added simulation scenarios with unbalanced group-size distributions, reflecting heterogeneity commonly observed in psychiatric longitudinal cohorts.</li> <li>Implemented missing data mechanisms informed by the empirical missingness pattern observed in the PEPs cohort to increase the realism of the simulated datasets.</li> </ul> <h3>Improved computational pipeline</h3> <p>Simulation and model-fitting procedures were updated to support parallel execution using parLapply, substantially improving computational efficiency for large simulation experiments.</p> <h3>Repository reorganization</h3> <p>The repository structure has been reorganized to clearly separate real-data and simulation analyses:</p> <pre><code>1_Real_data_analysis 1_1_functions.R 1_2_analysis.R 2_Simulated_data_analysis 2_1_functions.R 2_2_analysis_balanced_clusters.R 2_3_analysis_unbalanced_clusters.R </code></pre> <p>This structure improves transparency and reproducibility of the different analytical components.</p> <h3>Purpose of the repository</h3> <p>This repository supports methodological research on identifying trajectory-based response phenotypes in longitudinal psychiatric data and enables full reproducibility of the analyses reported in the accompanying manuscript.</p> <h3>Citation</h3> <p>If you use this code, please cite the Zenodo DOI associated with this release.</p> |
| title | v1.1.0 – Extended simulation scenarios and reproducible analysis pipeline |
| url | https://doi.org/10.5281/zenodo.18980293 |