"Wilhelm B. Kloke" <[EMAIL PROTECTED]> writes: > I have been asked how to handle the following situation in R: > > Given an unbalanced design of 3 crossed random effects, such as > subject, rater and item, how to estimate the variance components? > > I know how to do it using lme, but this seems to be limited to > the nested case; or to use aov with error strata, when the > design is balanced.
With the current version of lme it is difficult and inefficient to work with crossed random effects. A new version of lme being developed makes this much easier. I expect to release new versions of the Matrix and lme4 packages with R-1.9.0 (early April). I will describe the new lme capabilities in more detail at the useR!2004 conference in May. -- Douglas Bates [EMAIL PROTECTED] Statistics Department 608/262-2598 University of Wisconsin - Madison http://www.stat.wisc.edu/~bates/ ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
