TripleR/ BlockR: Working on mixed effect models …

[This article was first published on GSoC 2010 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.

At the moment I’m working on the implementation of full block designs (e.g., every member of group A rates each member from group and vice versa. A typical example is speed dating: every man rates each woman and vice versa).

These designs can be analyzed with mixed effect models, and now I’m a bit confused whether I should use lme4 or lme4a …

To leave a comment for the author, please follow the link and comment on their blog: GSoC 2010 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)