EEID 2024 Workshop Training Materials

Overview

Most of the materials here were initially developed as part of the VectorByte Initiative and the older VectorBiTE RCN. As such, they have been developed with the effort of many people over the years. Most of the specific materials for this workshop were originally developed by Dr. Leah R. Johnson and Sean Sorek. They have been modified for this workshop by Leah Johnson and Victor Pena.

Pre-work and set-up

Hardware and Software

We will be using R for all data manipulation and analyses/model fitting. Any operating system (Windows, Mac, Linux) will do, as long as you have R (version 4.2 or higher) installed.

You may use any IDE/ GUI for R (VScode, RStudio, Emacs, etc). For most people, RStudio is a good option. Whichever one you decide to use, please make sure it is installed and test it before the workshop.

We will also be using a new package, bayesTPC. We suggest that you install this package in advance. Note that the nimble package must be installed and loaded before bayesTPC can be used. To install bayesTPC you can use the following code:

remotes::install_github("johnwilliamsmithjr/bayesTPC")

Pre-requisites

We are assuming familiarity with R basics as well as at least introductory statistics, including up through linear models and the idea of a likelihood. If you would like materials to review, we recommend that you do the following: