UQ4Covid vignettes

Please read the guide to contributing vignettes.

Installation of basic tools

• Installing and running the MetaWards model - Stefan Siegert
• Installing MOGP - Stefan Siegert

The UQ4Covid Model structure

• Quick Start Guide: contains instructions about how to install and run this version of MetaWards with the current model - Danny Williamson
• Model Description: A guide to the current model structure, inputs and outputs - TJ McKinley
• Database Interaction: A guide to interacting with SQLite databases from R with EnsembleZero as an example - Lachlan Astfalck

Ensemble Zero

• Ensemble Zero: 16 parameters, 5 Latin Hypercubes, 4000 members, 8 hours run time, this vignette describes our first major Covid-19 ensemble - Danny Williamson and TJ McKinley

Experimental design

• Experimental design (defunct)
• k-Extended LHC experimental design - Danny Williamson

Visualisation

• Plotting with ggplot: A guide to plotting Metawards outputs with ggplot - Lachlan Astfalck
• Visualise output - Stefan Siegert

Sensitivity analysis

• An Early Sensitivity analysis - Doug McNeall
• Cumulative Cases at Lockdown - Doug McNeall
• Sensitivity Analysis with Generalised Additive Models - Jeremy Oakley
• GAM Sensitivity Analysis for Ensemble Zero - Danny Williamson

Emulation

• Early Emulation of MetaWards output - Danny Williamson
• Quantile Kriging Emulator (with PCA) - Evan Baker
• Quantile Kriging Emulator (Independent outputs) - Evan Baker
• Quantile Emulation with MOGP - Danny Williamson
• Ensemble Zero: Emulator Struggles :(: Initial attempt at emulating ensemble 0 - Evan Baker

Calibration

• Calibrating MetaWards output - Ben Youngman
  • Collating data for Calibrating MetaWards output - Ben Youngman
• History Matching using linear emulators - TJ McKinley