Instructor

Training Description

Template Model Builder (TMB) is a statistical computing platform that performs maximum likelihood inference and is easily extended to include random effects. Models are written in C++ and run with R using the TMB R package. This course will build from the Beginner TMB course and focus on input/output features, such as parameter mapping and model diagnostics. It will also cover simulation and random effects.

Prerequisites: Attendees will need R and an R IDE installed on their local machine. The TMB R package (>1.8.0) also needs to be installed from CRAN. Please see Getting Started with TMB for software requirements and TMB package installation instructions. The TMB Developer Resources provide a collection of useful resources from the TMB developers. Attendes should have a beginner level understanding of how to set up and run a TMB model. For a refresher, work through the tutorial on the TMB Wiki page.

Agenda

2 pm - 5:30 pm

  • 2:00 pm - 2:15 pm - Introductions
  • 2:15 - 3:00 - Content
  • 3:00 pm - 3:30 pm - Break (Coffee and Snacks)
  • 3:30 pm - 5:20pm - Content
  • 5:20 pm - 5:30pm - Participant Feedback

Code of Conduct

Remember, this is a “Yes, And!” environment. There are no wrong answers! We are all here to learn and support each other

In short, we expect each participant to follow the workshop’s code of conduct. If you have any concerns, please reach out to the workshop organizers.