> Message: 24 > Date: Tue, 31 Jan 2006 18:22:52 +0000 > From: "Lutz Ph. Breitling" <[EMAIL PROTECTED]> > Subject: [R] Mixed-effects models / heterogeneous covariances > To: r-help@stat.math.ethz.ch > Message-ID: > <[EMAIL PROTECTED]> > Content-Type: text/plain; charset=ISO-8859-1 > > Dear R-list, > > maybe someone can help me with the following mixed-effects models > problem, as I am unable to figure it out with the 'nlme-bible'. > > I would like to fit (in R, obviously) a so-called animal model (google > e. g. "Heritability and genetic constraints of life-history" by Pettay > et al.) to estimate the variance component that is due to genetic > effects. The covariances of the genetic random effects between > observations are given by the different degrees of relatedness between > the individuals examined. (I find it difficult to explain, but Pettay > et al. describe it nicely in their methods section...) > > Is there any straight-forward way to fit such a model with R? I first > thought I could handle it somehow with nlme's correlation structures, > but these within-group structures are quite a different thing, right? > > Any suggestions would be highly appreciated- > Lutz > > -- > Lutz Ph. Breitling > University of Leeds/UK
lmekin and coxme in Terry Therneau's kinship package may help. David Duffy. ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
