Dear all,
I have a question related to the residual structure of PGLS models. If I understand correctly, PGLS models implemented in R assume a Brownian motion (or lambda model) of the correlation structure of the residuals when using corBrownian or corPagel functions. However, I am just wondering if anyone has any idea if these models could still be applied for PGLS tests where the dependent variable does not follow Brownian motion but instead, for example, can only increase instead of decrease through time? If the residuals of OLS exhibit phylogenetic signals, would it be sufficient to justify the use of Brownian motion to correct for phylogeny? Many thanks! Yanzhu Yanzhu Ji Postdoctoral researcher Key Laboratory of Zoological Systematics and Evolution | Institute of Zoology | Chinese Academy of Sciences [[alternative HTML version deleted]] _______________________________________________ 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/