Welcome to the support page for gamlss_longitudinal.
This package fits longitudinal regression models with GAMLSS marginal distributions and copulas for within-subject dependence.
Use this page as the landing point for the main workflows and support articles.
Please report bugs or issues at https://github.com/ahibbert/gamlss.longitudinal/issues.
For details on the mathematical framework, optimiser, or model performance, see:
- https://arxiv.org/abs/2410.11892
- https://arxiv.org/abs/2410.11892 (updated gamlss_longitudinal paper once available)
Start here
Installation:
remotes::install_github("ahibbert/gamlss.longitudinal")Worked examples for end-to-end model fits using gamlss.longitudinal.
| Article title | Access from R | Purpose |
|---|---|---|
| Minimal workflow | vignette("standard-workflow", package = "gamlss.longitudinal") |
The recommended screen, fit, check, infer, predict, and simulate workflow. |
| Detailed worked example | vignette("native-simulation-workflow", package = "gamlss.longitudinal") |
A full simulated example with known truth, copula screening, fitting, and diagnostics. |
Reference guides
Use these articles when you want more detail on a specific part of the workflow:
| Article title | Access from R | Purpose |
|---|---|---|
| Inference | vignette("inference-uncertainty", package = "gamlss.longitudinal") |
Confidence intervals, Wald tests, likelihood comparisons, bootstrap inference, and uncertainty language. |
| Diagnostics | vignette("diagnostics-decisions", package = "gamlss.longitudinal") |
check_model(), basic check statuses, failed-check
warnings, tail checks, and dependence diagnostics. |
| Simulator usage | vignette("simulator-usage", package = "gamlss.longitudinal") |
How to generate longitudinal datasets with GAMLSS margins, copula dependence, covariates, known truth, and missing responses. |
| Test working install | vignette("test-working-install", package = "gamlss.longitudinal") |
A short runnable check for installation and the end-to-end workflow. |
Reference pages
Use the package function index for function-level details, including simulation helper functions.