TripleR/ BlockR: Working on mixed effect models …

July 9, 2010

(This article was first published on GSoC 2010 R, and kindly contributed to R-bloggers)

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 …

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