Dear Skylar, The data you have fit into the framework of PCMs with measurement error that we desribed in T. F. Hansen and K. Bartoszek. "Interpreting the evolutionary regression: the interplay between observational and biological errors in phylogenetic comparative studies". In: Systematic Biology 61.3 (2012), pp. 413–425.
Your data then become for each tip the mean and variance (functioning as observational error). I'm not sure if compar.gee can work with such a setup but my mvSLOUCH R package (on CRAN) can include analysis of a dataset with measurement error attached to tip observations (which are then means of the species). But on the other hand I don't know if mvSLOUCH will have the model that you are looking for? It allows fpr estimation of multivariate OU processes evolving on a phylogeny - i.e. traits that jointly evolving and adapting. Hope this is useful. Best wishes Krzysztof Bartoszek _______________________________________________ R-sig-phylo mailing list - R-sig-phylo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-phylo Searchable archive at http://www.mail-archive.com/r-sig-phylo@r-project.org/
