In this class we will survey a broad range of data analysis methods, with a focus on likelihood-based inference for solving non-standard problems. We will develop skills in building custom model specifications and will build an intuition for when to use custom (bespoke) methods and when standard tools and methods are appropriate.
Course materials and laboratory exercises will be posted online in
enough detail to complete on your own. That said, much of the benefit of
this course will come from interactions with peers and the instructor
during class and lab periods and I expect you to do your best to attend
and participate wherever possible!
## Textbook Please order the course textbook (Ecological Modeling and
Data in R, by Ben Bolker) as soon as possible. You can purchase the
textbook on Amazon.
All other readings will be posted on WebCampus.
All of you should have R and RStudio installed on your computers. See the links page for some useful references. Carlos Ramirez Reyes will be leading an R workshop in an upcoming weekend https://library.unr.edu/places/delamare/research-data-services- please consider attending if you don’t have much experience in R!
The UNR Research Data Services program hosts informal weekly sessions for grad students and faculty to discuss data analysis questions. This can be a good opportunity to ask questions, find out more about what types of data and questions your peers are working with, and contribute some insights!
Use the Google Sheets link to sign up for a topic and a date. See WebCampus for Google Sheets link for this class
Please take the time to introduce yourself in more detail on the “WebCampus” site – I posted a question on the discussion board, which some of you have already responded to…
Remember, I need your frequent and honest feedback in order to make sure that the level is appropriate and the topics are useful!