Dear Gopal, Maybe you can look into MCMCglmm? MCMCglmm can take a lot of error distributions into account.
thanks, Manabu On 15 March 2017 at 10:24, Gopal Murali <goopaalmur...@gmail.com> wrote: > Dear list, > I am trying to fit a regression model using a dataset containing dependent > variable as a percentage (arcsine transformed) and a categorical > independent variable controlled for phylogeny using PGLS. Following the > post below, I found the normality of the residuals to be non-normal as the > data is right skewed (zero-inflated). Is there any way to overcome this > issue? > http://blog.phytools.org/2013/02/a-comment-on-distribution- > of-residuals.html > > Thanks in advance, > Gopal Murali > > [[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-ph...@r-project.org/ > -- Manabu Sakamoto, PhD manabu.sakam...@gmail.com [[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/
