Models for sensitivity analyses

[ZoeMZou]

This PR does four changes to allow any sensitivity analyses using the same statistical methods as the main analyses:

1. Add sensitivity analyses to the active analysis table
2. Sensitivity model input: read the sensitivity clean dataset
3. Make model output: save all sensitivity models into the a subdirector…
4. Update YAML: replicate all model jobs for sensitivity analysis

[Copilot]

Copilot review overview

🟢 Approval recommended

The sensitivity pipeline is consistently wired through the registry, dependencies, model inputs, and output paths; only a minor comment correction remains.

Review effort: Balanced
Findings: 1

Open (1)

• Clarify YAML dependencies comment · New

What changed in this PR

Extends the modelling pipeline to run main and sensitivity analyses consistently.

Changes:

• Adds sensitivity variants to the analysis registry.
• Routes models to sensitivity-specific cleaned datasets and dependencies.
• Writes merged sensitivity outputs to dedicated subdirectories.

File	Description
analysis/​active_analyses/​active_analyses.R	Registers uniquely named sensitivity analyses.
analysis/​model/​fn-prepare_model_input.R	Selects the appropriate cleaned dataset.
analysis/​create_project_actions.R	Generates sensitivity model and output actions.
analysis/​make_output/​make_model_output.R	Writes merged outputs to variant-specific directories.

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[marwaalarab]

looks good!