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SHARP: Bayesian Modeling for Environmental Health Workshop

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Introduction

GitHub repo through which we're developing and sharing materials for the SHARP Bayesian Modeling for Environmental Health Workshop, taking place in person during August 14th-15th 2023.

Notes for attendees

The workshop will be a series of lectures and interactive supervised lab sessions. We hope it's informative and fun!

We will be using Posit (RStudio) Cloud, which assumes knowledge of R and RStudio. We will also ask you to pull the final versions of the GitHub repo to your Cloud account. The basics of doing this are in a previously-created guide found via another guide repo.

This workshop is largely written in NIMBLE.

Below is the set of labs to follow throughout the two days:

Day 1

Time Activity
8:30 - 9:00 Check in and Breakfast
9:00 - 9:15 Welcome and Introduction
9:15 - 10:00 Introduction to Bayesian Methods (Lecture)
10:00 - 10:15 Break / One-on-one questions
10:15 - 11:00 Introduction to Bayesian Methods (Hands-on Lab)
11:00 - 11:15 Break / One-on-one questions
11:15 - 12:00 Bayesian Workflow (Lecture)
12:00 - 1:00 Networking Lunch
1:00 - 1:45 Bayesian Regression and Temporal Modeling (Lecture)
1:45 - 2:00 Break / One-on-one questions
2:00 - 2:45 Bayesian Regression and Temporal Modelling (Hands-on Lab)
2:45 - 3:00 Break / One-on-one questions
3:00 - 3:45 Hierarchical Modeling (Lecture)
3:45 - 4:00 Break / One-on-one questions
4:00 - 4:45 Hierarchical Modelling (Hands-on Lab)
4:45 - 5:00 Questions and Wrap-up

Day 2

Time Activity
8:30 - 9:00 Check in and Breakfast
9:00 - 10:00 Spatial and Spatio-temporal Modeling (Lecture)
10:00 - 10:15 Break / One-on-one questions
10:15 - 11:00 Spatial and Spatio-temporal Modelling (Hands-on Lab)
11:00 - 11:15 Break / One-on-one questions
11:15 - 12:00 Software Options (Lecture)
12:00 - 1:00 Networking Lunch
1:00 - 2:00 Software Options (Hands-on Lab)
2:00 - 2:15 Break / One-on-one questions
2:15 - 3:00 Bayesian Non-Parametric Ensemble (Lecture)
3:00 - 3:15 Break / One-on-one questions
3:15 - 4:15 Bayesian Non-Parametric Ensemble (Hands-on Lab)
4:15 - 5:00 Workshop Summary, Interactive Panel Discussion & Course Wrap-up
5:00 - 5:15 Questions and Wrap-up

Notes for those working on the repo

Using pre-commit

Run pre-commit install to install the hooks. You now won't be able to commit until you pass the hooks. These (among other things) automatically format files and prevent us from committing ugly code. For more details, see the main docs and the R docs.

Using renv

renv maintains consistency between users' R environments. Run renv::restore() and the environment will be downloaded into the repository based on the renv.lock file. If you want to add a packages to the lockfile, install the package and then run renv::snapshot(). For more details, see the docs.

Using Quarto for presentations

Quarto is pretty cool. I won't bore you, but have a look at the docs. Here, we're using it for presentations. It's designed by the folks at RStudio, so you R folk will be happy. Make a .qmd file and run quarto render *.qmd to generate the html, which you can open in browser. We can get fancy and import our own css to have a consistent theme for out presentations.

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GitHub repo through which we're sharing materials for the SHARP Bayesian Modeling for Environmental Health Workshop.

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