Visualizing fits, inference, implications of (G)LMMs with Jaime Ashander

[This article was first published on Noam Ross - R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

A couple of weeks at the Davis R Users’ Group, Jaime Ashander gave a presentation on and visualizing and diagnosing (G)LMMs in R. Here’s the video:

Jaime also wrote up the notes from his talk, including all the code, on his blog here (with the raw R Markdown file on github here). The material in the blog post is expanded and improved upon from the original talk, though this means the video and posted code don’t match exactly.

To leave a comment for the author, please follow the link and comment on their blog: Noam Ross - R.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)